Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Salt Lake City, Utah
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Robyn Honquest
Salt Lake City, Utah
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Senior Intapp Applications Engineer. Candidate will be responsible for the design, support, and on-going operation of the Firm's Intapp Walls, Open Intake, Conflicts and Terms platforms. This position uses technical guidance and engineering best practices to oversee or perform the design, development, build, configuration and testing. The Senior Application Engineer provides a deep understanding of the Intapp platform products and how they are being used and integrated internally and externally. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Intapp product platform (Walls, Intake, Conflicts, Terms) and other Firm applications (as applicable). Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Evaluate and implement third-party cloud solutions and/or features based on the business needs. Gather requirements, design, develop, test and implement high-quality, user-friendly solutions to meet the Firm's goals and strategic objectives. Solve or recommend solutions for complex issues and problems. Integrate on-prem and cloud data sources with SaaS and on-prem applications to create seamless and efficient solutions. Develop and maintain procedural and configuration documentation for administered systems. The position will be instrumental in systems support, and actively managing relationships with various non-IT business departments. Build and maintain strong relationships with vendors and vendor developers, guiding them through the Firm's technology, security, and risk best practices to enhance and develop their products. Serve as the technical SME (Subject Matter Expert) for Intapp product platform and any other applications in scope. Testing, and deploying application solutions using various cloud platforms and technologies. Implementing and enforcing risk policies and standards, security policies and standards, and best practices for cloud, hybrid on on-premises environments. Identifying and mitigating risks and threats to the cloud, hybrid, and on-premises systems. Providing technical support and guidance to other teams and stakeholders. Collaborate with professionals at all levels of the organization. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Applications team. Qualifications: The Senior Applications Engineer must have a BA/BS in computer science, related field, or equivalent experience with Ten (10) + years experience of application support/configuration for Intapp related products in a large, global professional services firm. 2+ years with Cloud technologies (Azure preferred) The ideal candidate must have good judgment, problem-solving, oral, written and interpersonal communication skills, as well as the ability to work in a fast-paced environment and build positive working relationships. In addition, candidates must be self-motivated, organized, and able to multi-task and effectively prioritize competing demands. Experience with SQL, including stored procedures, functions and triggers is required. Proactive in escalating issues and pulling in support from other technical experts as required. Ability to train and guide junior software developers/analysts. Embrace a nimble mindset and adapt quickly to changing requirements and goals in a fast-paced, dynamic environment. Staying updated with the latest trend and developments in Salesforce and the cloud Must be a self-starter and able to work independently with little direction/supervision. Familiarity with various cloud platforms and services such as AWS, Azure, Google Cloud, etc. Strong problem-solving, analytical, and communication skills Technologies: Intapp Platform Products Walls, Intake, Conflicts, Terms, Workspaces Microsoft Azure Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory Microsoft Internet Information Services Windows Server and Desktop operating system environments
16/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Senior Intapp Applications Engineer. Candidate will be responsible for the design, support, and on-going operation of the Firm's Intapp Walls, Open Intake, Conflicts and Terms platforms. This position uses technical guidance and engineering best practices to oversee or perform the design, development, build, configuration and testing. The Senior Application Engineer provides a deep understanding of the Intapp platform products and how they are being used and integrated internally and externally. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Intapp product platform (Walls, Intake, Conflicts, Terms) and other Firm applications (as applicable). Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Evaluate and implement third-party cloud solutions and/or features based on the business needs. Gather requirements, design, develop, test and implement high-quality, user-friendly solutions to meet the Firm's goals and strategic objectives. Solve or recommend solutions for complex issues and problems. Integrate on-prem and cloud data sources with SaaS and on-prem applications to create seamless and efficient solutions. Develop and maintain procedural and configuration documentation for administered systems. The position will be instrumental in systems support, and actively managing relationships with various non-IT business departments. Build and maintain strong relationships with vendors and vendor developers, guiding them through the Firm's technology, security, and risk best practices to enhance and develop their products. Serve as the technical SME (Subject Matter Expert) for Intapp product platform and any other applications in scope. Testing, and deploying application solutions using various cloud platforms and technologies. Implementing and enforcing risk policies and standards, security policies and standards, and best practices for cloud, hybrid on on-premises environments. Identifying and mitigating risks and threats to the cloud, hybrid, and on-premises systems. Providing technical support and guidance to other teams and stakeholders. Collaborate with professionals at all levels of the organization. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Applications team. Qualifications: The Senior Applications Engineer must have a BA/BS in computer science, related field, or equivalent experience with Ten (10) + years experience of application support/configuration for Intapp related products in a large, global professional services firm. 2+ years with Cloud technologies (Azure preferred) The ideal candidate must have good judgment, problem-solving, oral, written and interpersonal communication skills, as well as the ability to work in a fast-paced environment and build positive working relationships. In addition, candidates must be self-motivated, organized, and able to multi-task and effectively prioritize competing demands. Experience with SQL, including stored procedures, functions and triggers is required. Proactive in escalating issues and pulling in support from other technical experts as required. Ability to train and guide junior software developers/analysts. Embrace a nimble mindset and adapt quickly to changing requirements and goals in a fast-paced, dynamic environment. Staying updated with the latest trend and developments in Salesforce and the cloud Must be a self-starter and able to work independently with little direction/supervision. Familiarity with various cloud platforms and services such as AWS, Azure, Google Cloud, etc. Strong problem-solving, analytical, and communication skills Technologies: Intapp Platform Products Walls, Intake, Conflicts, Terms, Workspaces Microsoft Azure Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory Microsoft Internet Information Services Windows Server and Desktop operating system environments
Request Technology - Craig Johnson
Washington, Washington DC
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Senior Intapp Applications Engineer. Candidate will be responsible for the design, support, and on-going operation of the Firms Intapp Walls, Open Intake, Conflicts and Terms platforms. This position uses technical guidance and engineering best practices to oversee or perform the design, development, build, configuration and testing. The Senior Application Engineer provides a deep understanding of the Intapp platform products and how they are being used and integrated internally and externally. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firms Intapp product platform (Walls, Intake, Conflicts, Terms) and other Firm applications (as applicable). Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Evaluate and implement third-party cloud solutions and/or features based on the business needs. Gather requirements, design, develop, test and implement high-quality, user-friendly solutions to meet the Firms goals and strategic objectives. Solve or recommend solutions for complex issues and problems. Integrate on-prem and cloud data sources with SaaS and on-prem applications to create seamless and efficient solutions. Develop and maintain procedural and configuration documentation for administered systems. The position will be instrumental in systems support, and actively managing relationships with various non-IT business departments. Build and maintain strong relationships with vendors and vendor developers, guiding them through the Firms technology, security, and risk best practices to enhance and develop their products. Serve as the technical SME (Subject Matter Expert) for Intapp product platform and any other applications in scope. Testing, and deploying application solutions using various cloud platforms and technologies. Implementing and enforcing risk policies and standards, security policies and standards, and best practices for cloud, hybrid on on-premises environments. Identifying and mitigating risks and threats to the cloud, hybrid, and on-premises systems. Providing technical support and guidance to other teams and stakeholders. Collaborate with professionals at all levels of the organization. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firms IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Applications team. Qualifications: The Senior Applications Engineer must have a BA/BS in computer science, related field, or equivalent experience with Ten (10) + years experience of application support/configuration for Intapp related products in a large, global professional services firm. 2+ years with Cloud technologies (Azure preferred) The ideal candidate must have good judgment, problem-solving, oral, written and interpersonal communication skills, as well as the ability to work in a fast-paced environment and build positive working relationships. In addition, candidates must be self-motivated, organized, and able to multi-task and effectively prioritize competing demands. Experience with SQL, including stored procedures, functions and triggers is required. Proactive in escalating issues and pulling in support from other technical experts as required. Ability to train and guide junior software developers/analysts. Embrace a nimble mindset and adapt quickly to changing requirements and goals in a fast-paced, dynamic environment. Staying updated with the latest trend and developments in Salesforce and the cloud Must be a self-starter and able to work independently with little direction/supervision. Familiarity with various cloud platforms and services such as AWS, Azure, Google Cloud, etc. Strong problem-solving, analytical, and communication skills Technologies: Intapp Platform Products Walls, Intake, Conflicts, Terms, Workspaces Microsoft Azure Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory Microsoft Internet Information Services Windows Server and Desktop operating system environments
16/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Senior Intapp Applications Engineer. Candidate will be responsible for the design, support, and on-going operation of the Firms Intapp Walls, Open Intake, Conflicts and Terms platforms. This position uses technical guidance and engineering best practices to oversee or perform the design, development, build, configuration and testing. The Senior Application Engineer provides a deep understanding of the Intapp platform products and how they are being used and integrated internally and externally. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firms Intapp product platform (Walls, Intake, Conflicts, Terms) and other Firm applications (as applicable). Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Evaluate and implement third-party cloud solutions and/or features based on the business needs. Gather requirements, design, develop, test and implement high-quality, user-friendly solutions to meet the Firms goals and strategic objectives. Solve or recommend solutions for complex issues and problems. Integrate on-prem and cloud data sources with SaaS and on-prem applications to create seamless and efficient solutions. Develop and maintain procedural and configuration documentation for administered systems. The position will be instrumental in systems support, and actively managing relationships with various non-IT business departments. Build and maintain strong relationships with vendors and vendor developers, guiding them through the Firms technology, security, and risk best practices to enhance and develop their products. Serve as the technical SME (Subject Matter Expert) for Intapp product platform and any other applications in scope. Testing, and deploying application solutions using various cloud platforms and technologies. Implementing and enforcing risk policies and standards, security policies and standards, and best practices for cloud, hybrid on on-premises environments. Identifying and mitigating risks and threats to the cloud, hybrid, and on-premises systems. Providing technical support and guidance to other teams and stakeholders. Collaborate with professionals at all levels of the organization. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firms IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Applications team. Qualifications: The Senior Applications Engineer must have a BA/BS in computer science, related field, or equivalent experience with Ten (10) + years experience of application support/configuration for Intapp related products in a large, global professional services firm. 2+ years with Cloud technologies (Azure preferred) The ideal candidate must have good judgment, problem-solving, oral, written and interpersonal communication skills, as well as the ability to work in a fast-paced environment and build positive working relationships. In addition, candidates must be self-motivated, organized, and able to multi-task and effectively prioritize competing demands. Experience with SQL, including stored procedures, functions and triggers is required. Proactive in escalating issues and pulling in support from other technical experts as required. Ability to train and guide junior software developers/analysts. Embrace a nimble mindset and adapt quickly to changing requirements and goals in a fast-paced, dynamic environment. Staying updated with the latest trend and developments in Salesforce and the cloud Must be a self-starter and able to work independently with little direction/supervision. Familiarity with various cloud platforms and services such as AWS, Azure, Google Cloud, etc. Strong problem-solving, analytical, and communication skills Technologies: Intapp Platform Products Walls, Intake, Conflicts, Terms, Workspaces Microsoft Azure Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory Microsoft Internet Information Services Windows Server and Desktop operating system environments
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Senior Intapp Applications Engineer. Candidate will be responsible for the design, support, and on-going operation of the Firm's Intapp Walls, Open Intake, Conflicts and Terms platforms. This position uses technical guidance and engineering best practices to oversee or perform the design, development, build, configuration and testing. The Senior Application Engineer provides a deep understanding of the Intapp platform products and how they are being used and integrated internally and externally. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Intapp product platform (Walls, Intake, Conflicts, Terms) and other Firm applications (as applicable). Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Evaluate and implement third-party cloud solutions and/or features based on the business needs. Gather requirements, design, develop, test and implement high-quality, user-friendly solutions to meet the Firm's goals and strategic objectives. Solve or recommend solutions for complex issues and problems. Integrate on-prem and cloud data sources with SaaS and on-prem applications to create seamless and efficient solutions. Develop and maintain procedural and configuration documentation for administered systems. The position will be instrumental in systems support, and actively managing relationships with various non-IT business departments. Build and maintain strong relationships with vendors and vendor developers, guiding them through the Firm's technology, security, and risk best practices to enhance and develop their products. Serve as the technical SME (Subject Matter Expert) for Intapp product platform and any other applications in scope. Testing, and deploying application solutions using various cloud platforms and technologies. Implementing and enforcing risk policies and standards, security policies and standards, and best practices for cloud, hybrid on on-premises environments. Identifying and mitigating risks and threats to the cloud, hybrid, and on-premises systems. Providing technical support and guidance to other teams and stakeholders. Collaborate with professionals at all levels of the organization. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Applications team. Qualifications: The Senior Applications Engineer must have a BA/BS in computer science, related field, or equivalent experience with Ten (10) + years experience of application support/configuration for Intapp related products in a large, global professional services firm. 2+ years with Cloud technologies (Azure preferred) The ideal candidate must have good judgment, problem-solving, oral, written and interpersonal communication skills, as well as the ability to work in a fast-paced environment and build positive working relationships. In addition, candidates must be self-motivated, organized, and able to multi-task and effectively prioritize competing demands. Experience with SQL, including stored procedures, functions and triggers is required. Proactive in escalating issues and pulling in support from other technical experts as required. Ability to train and guide junior software developers/analysts. Embrace a nimble mindset and adapt quickly to changing requirements and goals in a fast-paced, dynamic environment. Staying updated with the latest trend and developments in Salesforce and the cloud Must be a self-starter and able to work independently with little direction/supervision. Familiarity with various cloud platforms and services such as AWS, Azure, Google Cloud, etc. Strong problem-solving, analytical, and communication skills Technologies: Intapp Platform Products Walls, Intake, Conflicts, Terms, Workspaces Microsoft Azure Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory Microsoft Internet Information Services Windows Server and Desktop operating system environments
16/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Senior Intapp Applications Engineer. Candidate will be responsible for the design, support, and on-going operation of the Firm's Intapp Walls, Open Intake, Conflicts and Terms platforms. This position uses technical guidance and engineering best practices to oversee or perform the design, development, build, configuration and testing. The Senior Application Engineer provides a deep understanding of the Intapp platform products and how they are being used and integrated internally and externally. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Intapp product platform (Walls, Intake, Conflicts, Terms) and other Firm applications (as applicable). Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Evaluate and implement third-party cloud solutions and/or features based on the business needs. Gather requirements, design, develop, test and implement high-quality, user-friendly solutions to meet the Firm's goals and strategic objectives. Solve or recommend solutions for complex issues and problems. Integrate on-prem and cloud data sources with SaaS and on-prem applications to create seamless and efficient solutions. Develop and maintain procedural and configuration documentation for administered systems. The position will be instrumental in systems support, and actively managing relationships with various non-IT business departments. Build and maintain strong relationships with vendors and vendor developers, guiding them through the Firm's technology, security, and risk best practices to enhance and develop their products. Serve as the technical SME (Subject Matter Expert) for Intapp product platform and any other applications in scope. Testing, and deploying application solutions using various cloud platforms and technologies. Implementing and enforcing risk policies and standards, security policies and standards, and best practices for cloud, hybrid on on-premises environments. Identifying and mitigating risks and threats to the cloud, hybrid, and on-premises systems. Providing technical support and guidance to other teams and stakeholders. Collaborate with professionals at all levels of the organization. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Applications team. Qualifications: The Senior Applications Engineer must have a BA/BS in computer science, related field, or equivalent experience with Ten (10) + years experience of application support/configuration for Intapp related products in a large, global professional services firm. 2+ years with Cloud technologies (Azure preferred) The ideal candidate must have good judgment, problem-solving, oral, written and interpersonal communication skills, as well as the ability to work in a fast-paced environment and build positive working relationships. In addition, candidates must be self-motivated, organized, and able to multi-task and effectively prioritize competing demands. Experience with SQL, including stored procedures, functions and triggers is required. Proactive in escalating issues and pulling in support from other technical experts as required. Ability to train and guide junior software developers/analysts. Embrace a nimble mindset and adapt quickly to changing requirements and goals in a fast-paced, dynamic environment. Staying updated with the latest trend and developments in Salesforce and the cloud Must be a self-starter and able to work independently with little direction/supervision. Familiarity with various cloud platforms and services such as AWS, Azure, Google Cloud, etc. Strong problem-solving, analytical, and communication skills Technologies: Intapp Platform Products Walls, Intake, Conflicts, Terms, Workspaces Microsoft Azure Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory Microsoft Internet Information Services Windows Server and Desktop operating system environments
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Director of Risk Management Software Engineering. Candidate will be responsible for functions within Quantitative Risk Management for developing and maintaining risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. Responsibilities: Collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, back-testing and monitoring. Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, back-testing and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office. Experience with Scripting languages such as Python is a plus. Experience with numerical libraries and/or scientific computing is a plus.
16/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Director of Risk Management Software Engineering. Candidate will be responsible for functions within Quantitative Risk Management for developing and maintaining risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. Responsibilities: Collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, back-testing and monitoring. Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, back-testing and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office. Experience with Scripting languages such as Python is a plus. Experience with numerical libraries and/or scientific computing is a plus.
Director, Software Engineering - Quantitative Risk Management Applications SALARY: $200k - $230k flex plus 27% bonus LOCATION: Chicago, il Hybrid 3 days onsite, 2 days remote You will manage six plus people and help build the framewrok within the quantitative management platform developing software applications and solutions. Java C++ python automation devops cicd aws terraform Kubernetes SQL docker helm masters or Phd This role is responsible for one or more functions within Quantitative Risk Management (QRM) who develops and maintains risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. This role will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, backtesting and monitoring. Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, backtesting and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Education and/or Experience: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas
16/05/2024
Full time
Director, Software Engineering - Quantitative Risk Management Applications SALARY: $200k - $230k flex plus 27% bonus LOCATION: Chicago, il Hybrid 3 days onsite, 2 days remote You will manage six plus people and help build the framewrok within the quantitative management platform developing software applications and solutions. Java C++ python automation devops cicd aws terraform Kubernetes SQL docker helm masters or Phd This role is responsible for one or more functions within Quantitative Risk Management (QRM) who develops and maintains risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. This role will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, backtesting and monitoring. Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, backtesting and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Education and/or Experience: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a M365 Platform Manager. This manager will have a heavy focus with MS Teams. The team is seeking at least three to four years' experience in MS Teams that includes audio/visual conferencing, analytics, Team Premium, and MT SME. Also will need experience with SharePoint Online, OneDrive, OneNote, Planner Streams, PowerShell, etc. They will manage a team of consultants and focus on policies, compliance, change management, etc. Responsibilities: Provide leadership in establishing robust M365 service administration protocols Administers M365 collaboration tools, including SharePoint Online, MS Teams, OneNote, OneDrive, Streams, Planner, Viva Engage, etc Continually develops the processes and policies for provisioning Forms a community with the Global Assistant Director of M365 Platform, the Cloud Architect, the Enterprise Application Architect (and with others as needed) to provide collective oversight of the M365 ecosystem Promotes optimal useability of M365 services Monitors Microsoft's roadmap for upgrades to M365 services and establishes the mechanisms by which we share relevant changes with our people Works with the office of the Director of Information Governance in ensuring content management policies for M365 are in compliance and updated as business needs evolve Works closely with the Security team, prioritizing safety of the firm's systems and content Identifies potential points of integration between M365 services on the core device-top and works with technical colleagues to deliver key integrations Promotes use of the data available via the Microsoft admin portal to identify areas of untapped benefit, and to foster our continuing path towards a data-driven organization Provides level three support for functional requests relating to M365 collaboration services Develop and/or lead change management efforts across all phases of projects and initiatives to drive the Firm's culture of continuous improvement Ensures vendors provide proper levels of support, maintain SLA's, and provide root cause analysis for escalated issues Ensures all team, departmental and firm policies and procedures are adhered to, including technical change management and service continuity Completes all administrative tasks, ie, (time tracking, project and task updates, trouble ticket notes, status reports, responding to email, etc.) accurately and on time Qualifications Bachelor's degree in Computer Science or a related field. 5+ years of M365 product experience Prior experience in M365, specifically MS Teams and SharePoint Online administration, and guiding their use within an organization In depth knowledge of SharePoint Online and Microsoft Teams is required Holistic knowledge of the M365 Suite is required Knowledge of Intapp Workspaces is helpful PowerShell Scripting Proven change management skills M365 certification, such as MS Teams Specialist, SPO Admin and or Development
16/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a M365 Platform Manager. This manager will have a heavy focus with MS Teams. The team is seeking at least three to four years' experience in MS Teams that includes audio/visual conferencing, analytics, Team Premium, and MT SME. Also will need experience with SharePoint Online, OneDrive, OneNote, Planner Streams, PowerShell, etc. They will manage a team of consultants and focus on policies, compliance, change management, etc. Responsibilities: Provide leadership in establishing robust M365 service administration protocols Administers M365 collaboration tools, including SharePoint Online, MS Teams, OneNote, OneDrive, Streams, Planner, Viva Engage, etc Continually develops the processes and policies for provisioning Forms a community with the Global Assistant Director of M365 Platform, the Cloud Architect, the Enterprise Application Architect (and with others as needed) to provide collective oversight of the M365 ecosystem Promotes optimal useability of M365 services Monitors Microsoft's roadmap for upgrades to M365 services and establishes the mechanisms by which we share relevant changes with our people Works with the office of the Director of Information Governance in ensuring content management policies for M365 are in compliance and updated as business needs evolve Works closely with the Security team, prioritizing safety of the firm's systems and content Identifies potential points of integration between M365 services on the core device-top and works with technical colleagues to deliver key integrations Promotes use of the data available via the Microsoft admin portal to identify areas of untapped benefit, and to foster our continuing path towards a data-driven organization Provides level three support for functional requests relating to M365 collaboration services Develop and/or lead change management efforts across all phases of projects and initiatives to drive the Firm's culture of continuous improvement Ensures vendors provide proper levels of support, maintain SLA's, and provide root cause analysis for escalated issues Ensures all team, departmental and firm policies and procedures are adhered to, including technical change management and service continuity Completes all administrative tasks, ie, (time tracking, project and task updates, trouble ticket notes, status reports, responding to email, etc.) accurately and on time Qualifications Bachelor's degree in Computer Science or a related field. 5+ years of M365 product experience Prior experience in M365, specifically MS Teams and SharePoint Online administration, and guiding their use within an organization In depth knowledge of SharePoint Online and Microsoft Teams is required Holistic knowledge of the M365 Suite is required Knowledge of Intapp Workspaces is helpful PowerShell Scripting Proven change management skills M365 certification, such as MS Teams Specialist, SPO Admin and or Development
*We are unable to sponsor as this is a permanent Full time role* *Hybrid 3 days onsite 2 days remote* *On call 1-week a month 24/7 and maintenance windows every other Saturday* A prestigious company is looking for a Senior Intapp Application Engineer. This engineer will focus the design and support of the company's Intapp Walls, Open Intake, Conflicts and Terms Platforms. This engineer will provide level 3 operational support and have deep understanding of the Intapp Platform. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Intapp product platform (Walls, Intake, Conflicts, Terms) and other Firm applications (as applicable). Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Evaluate and implement third-party cloud solutions and/or features based on the business needs. Integrate on-prem and cloud data sources with SaaS and on-prem applications to create seamless and efficient solutions. Develop and maintain procedural and configuration documentation for administered systems. The position will be instrumental in systems support, and actively managing relationships with various non-IT business departments. Build and maintain strong relationships with vendors and vendor developers, guiding them through the Firm's technology, security, and risk best practices to enhance and develop their products. Serve as the technical SME (Subject Matter Expert) for Intapp product platform and any other applications in scope. Testing, and deploying application solutions using various cloud platforms and technologies. Implementing and enforcing risk policies and standards, security policies and standards, and best practices for cloud, hybrid on on-premises environments. Identifying and mitigating risks and threats to the cloud, hybrid, and on-premises systems. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Applications team. Qualifications The Senior Applications Engineer must have a BA/BS in computer science, related field, or equivalent experience with Ten (10) + years' experience of application support/configuration for Intapp related products in a large, global professional services firm. 2+ years with Cloud technologies (Azure preferred) Experience with SQL, including stored procedures, functions and triggers is required. Familiarity with various cloud platforms and services such as AWS, Azure, Google Cloud, etc. Intapp Platform Products - Walls, Intake, Conflicts, Terms, Workspaces Microsoft Azure Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory
16/05/2024
Full time
*We are unable to sponsor as this is a permanent Full time role* *Hybrid 3 days onsite 2 days remote* *On call 1-week a month 24/7 and maintenance windows every other Saturday* A prestigious company is looking for a Senior Intapp Application Engineer. This engineer will focus the design and support of the company's Intapp Walls, Open Intake, Conflicts and Terms Platforms. This engineer will provide level 3 operational support and have deep understanding of the Intapp Platform. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Intapp product platform (Walls, Intake, Conflicts, Terms) and other Firm applications (as applicable). Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Evaluate and implement third-party cloud solutions and/or features based on the business needs. Integrate on-prem and cloud data sources with SaaS and on-prem applications to create seamless and efficient solutions. Develop and maintain procedural and configuration documentation for administered systems. The position will be instrumental in systems support, and actively managing relationships with various non-IT business departments. Build and maintain strong relationships with vendors and vendor developers, guiding them through the Firm's technology, security, and risk best practices to enhance and develop their products. Serve as the technical SME (Subject Matter Expert) for Intapp product platform and any other applications in scope. Testing, and deploying application solutions using various cloud platforms and technologies. Implementing and enforcing risk policies and standards, security policies and standards, and best practices for cloud, hybrid on on-premises environments. Identifying and mitigating risks and threats to the cloud, hybrid, and on-premises systems. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Applications team. Qualifications The Senior Applications Engineer must have a BA/BS in computer science, related field, or equivalent experience with Ten (10) + years' experience of application support/configuration for Intapp related products in a large, global professional services firm. 2+ years with Cloud technologies (Azure preferred) Experience with SQL, including stored procedures, functions and triggers is required. Familiarity with various cloud platforms and services such as AWS, Azure, Google Cloud, etc. Intapp Platform Products - Walls, Intake, Conflicts, Terms, Workspaces Microsoft Azure Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory
*We are unable to sponsor as this is a permanent Full time role* *Hybrid 3 days onsite 2 days remote* *On call 1-week a month 24/7 and maintenance windows every other Saturday* A prestigious company is looking for a Senior Intapp Application Engineer. This engineer will focus the design and support of the company's Intapp Walls, Open Intake, Conflicts and Terms Platforms. This engineer will provide level 3 operational support and have deep understanding of the Intapp Platform. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Intapp product platform (Walls, Intake, Conflicts, Terms) and other Firm applications (as applicable). Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Evaluate and implement third-party cloud solutions and/or features based on the business needs. Integrate on-prem and cloud data sources with SaaS and on-prem applications to create seamless and efficient solutions. Develop and maintain procedural and configuration documentation for administered systems. The position will be instrumental in systems support, and actively managing relationships with various non-IT business departments. Build and maintain strong relationships with vendors and vendor developers, guiding them through the Firm's technology, security, and risk best practices to enhance and develop their products. Serve as the technical SME (Subject Matter Expert) for Intapp product platform and any other applications in scope. Testing, and deploying application solutions using various cloud platforms and technologies. Implementing and enforcing risk policies and standards, security policies and standards, and best practices for cloud, hybrid on on-premises environments. Identifying and mitigating risks and threats to the cloud, hybrid, and on-premises systems. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Applications team. Qualifications The Senior Applications Engineer must have a BA/BS in computer science, related field, or equivalent experience with Ten (10) + years' experience of application support/configuration for Intapp related products in a large, global professional services firm. 2+ years with Cloud technologies (Azure preferred) Experience with SQL, including stored procedures, functions and triggers is required. Familiarity with various cloud platforms and services such as AWS, Azure, Google Cloud, etc. Intapp Platform Products - Walls, Intake, Conflicts, Terms, Workspaces Microsoft Azure Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory
16/05/2024
Full time
*We are unable to sponsor as this is a permanent Full time role* *Hybrid 3 days onsite 2 days remote* *On call 1-week a month 24/7 and maintenance windows every other Saturday* A prestigious company is looking for a Senior Intapp Application Engineer. This engineer will focus the design and support of the company's Intapp Walls, Open Intake, Conflicts and Terms Platforms. This engineer will provide level 3 operational support and have deep understanding of the Intapp Platform. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Intapp product platform (Walls, Intake, Conflicts, Terms) and other Firm applications (as applicable). Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Evaluate and implement third-party cloud solutions and/or features based on the business needs. Integrate on-prem and cloud data sources with SaaS and on-prem applications to create seamless and efficient solutions. Develop and maintain procedural and configuration documentation for administered systems. The position will be instrumental in systems support, and actively managing relationships with various non-IT business departments. Build and maintain strong relationships with vendors and vendor developers, guiding them through the Firm's technology, security, and risk best practices to enhance and develop their products. Serve as the technical SME (Subject Matter Expert) for Intapp product platform and any other applications in scope. Testing, and deploying application solutions using various cloud platforms and technologies. Implementing and enforcing risk policies and standards, security policies and standards, and best practices for cloud, hybrid on on-premises environments. Identifying and mitigating risks and threats to the cloud, hybrid, and on-premises systems. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Applications team. Qualifications The Senior Applications Engineer must have a BA/BS in computer science, related field, or equivalent experience with Ten (10) + years' experience of application support/configuration for Intapp related products in a large, global professional services firm. 2+ years with Cloud technologies (Azure preferred) Experience with SQL, including stored procedures, functions and triggers is required. Familiarity with various cloud platforms and services such as AWS, Azure, Google Cloud, etc. Intapp Platform Products - Walls, Intake, Conflicts, Terms, Workspaces Microsoft Azure Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory
*We are unable to sponsor as this is a permanent Full time role* *Hybrid 3 days onsite 2 days remote* *On call 1-week a month 24/7 and maintenance windows every other Saturday* A prestigious company is looking for a Senior Intapp Application Engineer. This engineer will focus the design and support of the company's Intapp Walls, Open Intake, Conflicts and Terms Platforms. This engineer will provide level 3 operational support and have deep understanding of the Intapp Platform. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Intapp product platform (Walls, Intake, Conflicts, Terms) and other Firm applications (as applicable). Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Evaluate and implement third-party cloud solutions and/or features based on the business needs. Integrate on-prem and cloud data sources with SaaS and on-prem applications to create seamless and efficient solutions. Develop and maintain procedural and configuration documentation for administered systems. The position will be instrumental in systems support, and actively managing relationships with various non-IT business departments. Build and maintain strong relationships with vendors and vendor developers, guiding them through the Firm's technology, security, and risk best practices to enhance and develop their products. Serve as the technical SME (Subject Matter Expert) for Intapp product platform and any other applications in scope. Testing, and deploying application solutions using various cloud platforms and technologies. Implementing and enforcing risk policies and standards, security policies and standards, and best practices for cloud, hybrid on on-premises environments. Identifying and mitigating risks and threats to the cloud, hybrid, and on-premises systems. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Applications team. Qualifications The Senior Applications Engineer must have a BA/BS in computer science, related field, or equivalent experience with Ten (10) + years' experience of application support/configuration for Intapp related products in a large, global professional services firm. 2+ years with Cloud technologies (Azure preferred) Experience with SQL, including stored procedures, functions and triggers is required. Familiarity with various cloud platforms and services such as AWS, Azure, Google Cloud, etc. Intapp Platform Products - Walls, Intake, Conflicts, Terms, Workspaces Microsoft Azure Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory
16/05/2024
Full time
*We are unable to sponsor as this is a permanent Full time role* *Hybrid 3 days onsite 2 days remote* *On call 1-week a month 24/7 and maintenance windows every other Saturday* A prestigious company is looking for a Senior Intapp Application Engineer. This engineer will focus the design and support of the company's Intapp Walls, Open Intake, Conflicts and Terms Platforms. This engineer will provide level 3 operational support and have deep understanding of the Intapp Platform. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Intapp product platform (Walls, Intake, Conflicts, Terms) and other Firm applications (as applicable). Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Evaluate and implement third-party cloud solutions and/or features based on the business needs. Integrate on-prem and cloud data sources with SaaS and on-prem applications to create seamless and efficient solutions. Develop and maintain procedural and configuration documentation for administered systems. The position will be instrumental in systems support, and actively managing relationships with various non-IT business departments. Build and maintain strong relationships with vendors and vendor developers, guiding them through the Firm's technology, security, and risk best practices to enhance and develop their products. Serve as the technical SME (Subject Matter Expert) for Intapp product platform and any other applications in scope. Testing, and deploying application solutions using various cloud platforms and technologies. Implementing and enforcing risk policies and standards, security policies and standards, and best practices for cloud, hybrid on on-premises environments. Identifying and mitigating risks and threats to the cloud, hybrid, and on-premises systems. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Applications team. Qualifications The Senior Applications Engineer must have a BA/BS in computer science, related field, or equivalent experience with Ten (10) + years' experience of application support/configuration for Intapp related products in a large, global professional services firm. 2+ years with Cloud technologies (Azure preferred) Experience with SQL, including stored procedures, functions and triggers is required. Familiarity with various cloud platforms and services such as AWS, Azure, Google Cloud, etc. Intapp Platform Products - Walls, Intake, Conflicts, Terms, Workspaces Microsoft Azure Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory
*We are unable to sponsor as this is a permanent Full time role* *Hybrid 3 days onsite 2 days remote* *On call 1-week a month 24/7 and maintenance windows every other Saturday* A prestigious company is looking for a Senior Intapp Application Engineer. This engineer will focus the design and support of the company's Intapp Walls, Open Intake, Conflicts and Terms Platforms. This engineer will provide level 3 operational support and have deep understanding of the Intapp Platform. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Intapp product platform (Walls, Intake, Conflicts, Terms) and other Firm applications (as applicable). Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Evaluate and implement third-party cloud solutions and/or features based on the business needs. Integrate on-prem and cloud data sources with SaaS and on-prem applications to create seamless and efficient solutions. Develop and maintain procedural and configuration documentation for administered systems. The position will be instrumental in systems support, and actively managing relationships with various non-IT business departments. Build and maintain strong relationships with vendors and vendor developers, guiding them through the Firm's technology, security, and risk best practices to enhance and develop their products. Serve as the technical SME (Subject Matter Expert) for Intapp product platform and any other applications in scope. Testing, and deploying application solutions using various cloud platforms and technologies. Implementing and enforcing risk policies and standards, security policies and standards, and best practices for cloud, hybrid on on-premises environments. Identifying and mitigating risks and threats to the cloud, hybrid, and on-premises systems. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Applications team. Qualifications The Senior Applications Engineer must have a BA/BS in computer science, related field, or equivalent experience with Ten (10) + years' experience of application support/configuration for Intapp related products in a large, global professional services firm. 2+ years with Cloud technologies (Azure preferred) Experience with SQL, including stored procedures, functions and triggers is required. Familiarity with various cloud platforms and services such as AWS, Azure, Google Cloud, etc. Intapp Platform Products - Walls, Intake, Conflicts, Terms, Workspaces Microsoft Azure Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory
16/05/2024
Full time
*We are unable to sponsor as this is a permanent Full time role* *Hybrid 3 days onsite 2 days remote* *On call 1-week a month 24/7 and maintenance windows every other Saturday* A prestigious company is looking for a Senior Intapp Application Engineer. This engineer will focus the design and support of the company's Intapp Walls, Open Intake, Conflicts and Terms Platforms. This engineer will provide level 3 operational support and have deep understanding of the Intapp Platform. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Intapp product platform (Walls, Intake, Conflicts, Terms) and other Firm applications (as applicable). Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Evaluate and implement third-party cloud solutions and/or features based on the business needs. Integrate on-prem and cloud data sources with SaaS and on-prem applications to create seamless and efficient solutions. Develop and maintain procedural and configuration documentation for administered systems. The position will be instrumental in systems support, and actively managing relationships with various non-IT business departments. Build and maintain strong relationships with vendors and vendor developers, guiding them through the Firm's technology, security, and risk best practices to enhance and develop their products. Serve as the technical SME (Subject Matter Expert) for Intapp product platform and any other applications in scope. Testing, and deploying application solutions using various cloud platforms and technologies. Implementing and enforcing risk policies and standards, security policies and standards, and best practices for cloud, hybrid on on-premises environments. Identifying and mitigating risks and threats to the cloud, hybrid, and on-premises systems. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Applications team. Qualifications The Senior Applications Engineer must have a BA/BS in computer science, related field, or equivalent experience with Ten (10) + years' experience of application support/configuration for Intapp related products in a large, global professional services firm. 2+ years with Cloud technologies (Azure preferred) Experience with SQL, including stored procedures, functions and triggers is required. Familiarity with various cloud platforms and services such as AWS, Azure, Google Cloud, etc. Intapp Platform Products - Walls, Intake, Conflicts, Terms, Workspaces Microsoft Azure Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory
*We are unable to sponsor as this is a permanent Full time role* *Hybrid 3 days onsite 2 days remote* *On call 1-week a month 24/7 and maintenance windows every other Saturday* A prestigious company is looking for a Senior Intapp Application Engineer. This engineer will focus the design and support of the company's Intapp Walls, Open Intake, Conflicts and Terms Platforms. This engineer will provide level 3 operational support and have deep understanding of the Intapp Platform. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Intapp product platform (Walls, Intake, Conflicts, Terms) and other Firm applications (as applicable). Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Evaluate and implement third-party cloud solutions and/or features based on the business needs. Integrate on-prem and cloud data sources with SaaS and on-prem applications to create seamless and efficient solutions. Develop and maintain procedural and configuration documentation for administered systems. The position will be instrumental in systems support, and actively managing relationships with various non-IT business departments. Build and maintain strong relationships with vendors and vendor developers, guiding them through the Firm's technology, security, and risk best practices to enhance and develop their products. Serve as the technical SME (Subject Matter Expert) for Intapp product platform and any other applications in scope. Testing, and deploying application solutions using various cloud platforms and technologies. Implementing and enforcing risk policies and standards, security policies and standards, and best practices for cloud, hybrid on on-premises environments. Identifying and mitigating risks and threats to the cloud, hybrid, and on-premises systems. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Applications team. Qualifications The Senior Applications Engineer must have a BA/BS in computer science, related field, or equivalent experience with Ten (10) + years' experience of application support/configuration for Intapp related products in a large, global professional services firm. 2+ years with Cloud technologies (Azure preferred) Experience with SQL, including stored procedures, functions and triggers is required. Familiarity with various cloud platforms and services such as AWS, Azure, Google Cloud, etc. Intapp Platform Products - Walls, Intake, Conflicts, Terms, Workspaces Microsoft Azure Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory
16/05/2024
Full time
*We are unable to sponsor as this is a permanent Full time role* *Hybrid 3 days onsite 2 days remote* *On call 1-week a month 24/7 and maintenance windows every other Saturday* A prestigious company is looking for a Senior Intapp Application Engineer. This engineer will focus the design and support of the company's Intapp Walls, Open Intake, Conflicts and Terms Platforms. This engineer will provide level 3 operational support and have deep understanding of the Intapp Platform. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Intapp product platform (Walls, Intake, Conflicts, Terms) and other Firm applications (as applicable). Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Evaluate and implement third-party cloud solutions and/or features based on the business needs. Integrate on-prem and cloud data sources with SaaS and on-prem applications to create seamless and efficient solutions. Develop and maintain procedural and configuration documentation for administered systems. The position will be instrumental in systems support, and actively managing relationships with various non-IT business departments. Build and maintain strong relationships with vendors and vendor developers, guiding them through the Firm's technology, security, and risk best practices to enhance and develop their products. Serve as the technical SME (Subject Matter Expert) for Intapp product platform and any other applications in scope. Testing, and deploying application solutions using various cloud platforms and technologies. Implementing and enforcing risk policies and standards, security policies and standards, and best practices for cloud, hybrid on on-premises environments. Identifying and mitigating risks and threats to the cloud, hybrid, and on-premises systems. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Applications team. Qualifications The Senior Applications Engineer must have a BA/BS in computer science, related field, or equivalent experience with Ten (10) + years' experience of application support/configuration for Intapp related products in a large, global professional services firm. 2+ years with Cloud technologies (Azure preferred) Experience with SQL, including stored procedures, functions and triggers is required. Familiarity with various cloud platforms and services such as AWS, Azure, Google Cloud, etc. Intapp Platform Products - Walls, Intake, Conflicts, Terms, Workspaces Microsoft Azure Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory
*We are unable to sponsor as this is a permanent Full time role* *Hybrid 3 days onsite 2 days remote* *On call 1-week a month 24/7 and maintenance windows every other Saturday* A prestigious company is looking for a Senior Intapp Application Engineer. This engineer will focus the design and support of the company's Intapp Walls, Open Intake, Conflicts and Terms Platforms. This engineer will provide level 3 operational support and have deep understanding of the Intapp Platform. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Intapp product platform (Walls, Intake, Conflicts, Terms) and other Firm applications (as applicable). Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Evaluate and implement third-party cloud solutions and/or features based on the business needs. Integrate on-prem and cloud data sources with SaaS and on-prem applications to create seamless and efficient solutions. Develop and maintain procedural and configuration documentation for administered systems. The position will be instrumental in systems support, and actively managing relationships with various non-IT business departments. Build and maintain strong relationships with vendors and vendor developers, guiding them through the Firm's technology, security, and risk best practices to enhance and develop their products. Serve as the technical SME (Subject Matter Expert) for Intapp product platform and any other applications in scope. Testing, and deploying application solutions using various cloud platforms and technologies. Implementing and enforcing risk policies and standards, security policies and standards, and best practices for cloud, hybrid on on-premises environments. Identifying and mitigating risks and threats to the cloud, hybrid, and on-premises systems. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Applications team. Qualifications The Senior Applications Engineer must have a BA/BS in computer science, related field, or equivalent experience with Ten (10) + years' experience of application support/configuration for Intapp related products in a large, global professional services firm. 2+ years with Cloud technologies (Azure preferred) Experience with SQL, including stored procedures, functions and triggers is required. Familiarity with various cloud platforms and services such as AWS, Azure, Google Cloud, etc. Intapp Platform Products - Walls, Intake, Conflicts, Terms, Workspaces Microsoft Azure Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory
16/05/2024
Full time
*We are unable to sponsor as this is a permanent Full time role* *Hybrid 3 days onsite 2 days remote* *On call 1-week a month 24/7 and maintenance windows every other Saturday* A prestigious company is looking for a Senior Intapp Application Engineer. This engineer will focus the design and support of the company's Intapp Walls, Open Intake, Conflicts and Terms Platforms. This engineer will provide level 3 operational support and have deep understanding of the Intapp Platform. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Intapp product platform (Walls, Intake, Conflicts, Terms) and other Firm applications (as applicable). Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Evaluate and implement third-party cloud solutions and/or features based on the business needs. Integrate on-prem and cloud data sources with SaaS and on-prem applications to create seamless and efficient solutions. Develop and maintain procedural and configuration documentation for administered systems. The position will be instrumental in systems support, and actively managing relationships with various non-IT business departments. Build and maintain strong relationships with vendors and vendor developers, guiding them through the Firm's technology, security, and risk best practices to enhance and develop their products. Serve as the technical SME (Subject Matter Expert) for Intapp product platform and any other applications in scope. Testing, and deploying application solutions using various cloud platforms and technologies. Implementing and enforcing risk policies and standards, security policies and standards, and best practices for cloud, hybrid on on-premises environments. Identifying and mitigating risks and threats to the cloud, hybrid, and on-premises systems. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Applications team. Qualifications The Senior Applications Engineer must have a BA/BS in computer science, related field, or equivalent experience with Ten (10) + years' experience of application support/configuration for Intapp related products in a large, global professional services firm. 2+ years with Cloud technologies (Azure preferred) Experience with SQL, including stored procedures, functions and triggers is required. Familiarity with various cloud platforms and services such as AWS, Azure, Google Cloud, etc. Intapp Platform Products - Walls, Intake, Conflicts, Terms, Workspaces Microsoft Azure Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory
Request Technology - Craig Johnson
New York, New York
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
15/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Los Angeles (Downtown), California
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
15/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.