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 currently looking on behalf of one of our important clients for a Chief Information Security Officer (German Speaking). The role is permanent position based in Aargau Canton. Your role: Hold responsibility for the further development of Information Security Strategy, IT Security goals & the Security roadmap. Hold responsible for an Information Security Management System (ISMS), help shape IT Security architecture & ensure the provision of modern infrastructure & software solutions in the Security environment. Identify & evaluate ICT security risks in projects & operations & develop & implement guidelines. Determine guidelines for the prevention & identification of security incidents. Plan & carry out ICT Security audits & check compliance with Security guidelines. Advise company management on all areas of Information Security. Your Skills: At least 3 years of professional experience as a CISO or similar. Strong expertise in the field of Information Security (eg Mobile Application Security, Cloud Security, Data Security, Audits & Assessments). Familiar with the technical, regulatory & organizational requirements of data protection. Ideally experienced within the media industry. Your Profile: Completed University Degree in the area of Computer Science or similar. Analytical & pragmatic with strong communication skills. Fluent in German & English to at least C1 level (spoken & written) are mandatory requirements (please do not apply otherwise), Swiss-German language skills are considered a plus.
17/05/2024
Full time
We are currently looking on behalf of one of our important clients for a Chief Information Security Officer (German Speaking). The role is permanent position based in Aargau Canton. Your role: Hold responsibility for the further development of Information Security Strategy, IT Security goals & the Security roadmap. Hold responsible for an Information Security Management System (ISMS), help shape IT Security architecture & ensure the provision of modern infrastructure & software solutions in the Security environment. Identify & evaluate ICT security risks in projects & operations & develop & implement guidelines. Determine guidelines for the prevention & identification of security incidents. Plan & carry out ICT Security audits & check compliance with Security guidelines. Advise company management on all areas of Information Security. Your Skills: At least 3 years of professional experience as a CISO or similar. Strong expertise in the field of Information Security (eg Mobile Application Security, Cloud Security, Data Security, Audits & Assessments). Familiar with the technical, regulatory & organizational requirements of data protection. Ideally experienced within the media industry. Your Profile: Completed University Degree in the area of Computer Science or similar. Analytical & pragmatic with strong communication skills. Fluent in German & English to at least C1 level (spoken & written) are mandatory requirements (please do not apply otherwise), Swiss-German language skills are considered a plus.
*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
*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* A prestigious company is looking for a Vendor Quality Assurance Manager. This manager will focus on managing all the outsourced vendors for all technical quality assurance. This manager will be managing 25-30 onshore and offshore resources. This includes QA for applications, datacenter, Back End technology, Microsoft products, etc. Responsibilities: Develop and implement specific QA tailored solutions for each production deliverable. Establish relationship and governance with internal and third-party team members to conduct Quality Assurance responsibilities. Oversee and manage a global QA team with diverse backgrounds supporting QA development, which may include one or more third-party organizations. Ensure that management and allocation of QA resources based on project needs is performed. Develop, implement, or enhance and institutionalize QA processes, including metrics/measurements, reporting, and continuous improvement, that balance risk and delivery timelines. Integrate required and suggested testing framework in the IT Technology Services organization. Staying up to date with current state-of-the-art testing practices, testing practices and testing tools Ensure that QA feedback is being used to improve deliverable life cycle processes. Works with project team members to design, develop, and execute test plans. May consult to project teams, Subject Matter Experts (SMEs), and Business Units to design and develop test plans, test cases, and execution procedures. Recommends appropriate test execution approach in consideration of cost, scope, and timeline of product/solution delivery. Identifies test execution metrics to project team members. Prepares and communicates test results and reports accurate testing status to project team members. Provides estimates of text execution to support project-level resource planning efforts. May be required to facilitate onboarding and off boarding of in-sourced and/or outsourced testing resources. Review others (team or cross team) executed test results and help determine issues and priorities. Create and maintain quality control artifacts and make available to teams within and outside of IT. Adheres to industry and Firmwide IT specific quality engineering standards and processes. May be required to step in as a product manager for products that do not have an assigned Product Manager. Qualifications Bachelor's degree in Computer Science, Computer Engineering, Information Technology or equivalent experience. 10 years of experience in software development and software quality assurance. 3 years of experience working in Agile development process. 3 years of experience with performance and load testing. 3 years of experience in management of QA organization including management of third parties that are also delivering QA services. Proficiency with software QA methodologies, tools, and processes. Proficiency in project management. Encourages fiscal responsibility and maintains confidentiality. Technologies/Software Microsoft Office applications iDevice (Iphone/IPad) Communications: Avaya Telephone/Equinox, Zoom, TEAMS, SKYPE Test Management System: JIRA, ServiceNow, ADO Project Management: Eclipse/Microsoft Project SQL (Writing simple queries) Enterprise Management Systems, Finance, Human Resource, Time Tracking, Billing, Risk SharePoint
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* A prestigious company is looking for a Vendor Quality Assurance Manager. This manager will focus on managing all the outsourced vendors for all technical quality assurance. This manager will be managing 25-30 onshore and offshore resources. This includes QA for applications, datacenter, Back End technology, Microsoft products, etc. Responsibilities: Develop and implement specific QA tailored solutions for each production deliverable. Establish relationship and governance with internal and third-party team members to conduct Quality Assurance responsibilities. Oversee and manage a global QA team with diverse backgrounds supporting QA development, which may include one or more third-party organizations. Ensure that management and allocation of QA resources based on project needs is performed. Develop, implement, or enhance and institutionalize QA processes, including metrics/measurements, reporting, and continuous improvement, that balance risk and delivery timelines. Integrate required and suggested testing framework in the IT Technology Services organization. Staying up to date with current state-of-the-art testing practices, testing practices and testing tools Ensure that QA feedback is being used to improve deliverable life cycle processes. Works with project team members to design, develop, and execute test plans. May consult to project teams, Subject Matter Experts (SMEs), and Business Units to design and develop test plans, test cases, and execution procedures. Recommends appropriate test execution approach in consideration of cost, scope, and timeline of product/solution delivery. Identifies test execution metrics to project team members. Prepares and communicates test results and reports accurate testing status to project team members. Provides estimates of text execution to support project-level resource planning efforts. May be required to facilitate onboarding and off boarding of in-sourced and/or outsourced testing resources. Review others (team or cross team) executed test results and help determine issues and priorities. Create and maintain quality control artifacts and make available to teams within and outside of IT. Adheres to industry and Firmwide IT specific quality engineering standards and processes. May be required to step in as a product manager for products that do not have an assigned Product Manager. Qualifications Bachelor's degree in Computer Science, Computer Engineering, Information Technology or equivalent experience. 10 years of experience in software development and software quality assurance. 3 years of experience working in Agile development process. 3 years of experience with performance and load testing. 3 years of experience in management of QA organization including management of third parties that are also delivering QA services. Proficiency with software QA methodologies, tools, and processes. Proficiency in project management. Encourages fiscal responsibility and maintains confidentiality. Technologies/Software Microsoft Office applications iDevice (Iphone/IPad) Communications: Avaya Telephone/Equinox, Zoom, TEAMS, SKYPE Test Management System: JIRA, ServiceNow, ADO Project Management: Eclipse/Microsoft Project SQL (Writing simple queries) Enterprise Management Systems, Finance, Human Resource, Time Tracking, Billing, Risk SharePoint
*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
My client are a large government organisation, they are seeking a Data Scientist on an initial 6 month contract basis (37 hours per week). The role is paying £20.47 per hour for the duration of the contract, INSIDE IR35. LIVE SC CLEARANCE PREFFERED FOR THIS ROLE Qualifications PhD/Degree/MSc in a highly numerate subject (eg Data Science, Computer Science, Mathematics, Statistics, Physics) Mandatory Experience experience using open-source tools, such as Python, R and Git. Able to effectively translate and accurately communicate across technical and nontechnical stakeholders as well as facilitating discussions within a multidisciplinary team, with potentially difficult dynamics. Able to advocate for the team externally and can manage differing perspectives. Uses agreed standards and tools to design, code, test, correct and document moderate to complex programs and scripts from agreed specifications and subsequent iterations. Collaborates with others to review specifications where appropriate. Able to review requirements, specifications and define test conditions. Able to identify issues and risks associated with work whilst being able to analyse and report test activities and results. Understands and can help teams apply a range of practices. Develops deeper expertise on a narrower range of specialisms. Starts to apply emerging theory to practical situations. Can work with data engineers to map, produce, transform and test new data feeds for data owners and consumers, selecting the most appropriate tools and technologies. Can lead ad hoc data exploration in a wide variety of data serialisation and storage formats, from across the business, for data consumers. Displays strong intellectual curiosity and proactively explores areas of innovation in both government and industry. Can identify the business value for innovation within their organisation. Promotes and monitors continuous professional development within their organisation. Develops knowledge of cutting-edge techniques and shares knowledge. Propagates data science capability across the organisation. Successful candidates will be required to undergo BPSS Clearance, therefore applicants must of resided in the UK for a minimum of four out of the last five years, in order to undergo this level of security check.
16/05/2024
Project-based
My client are a large government organisation, they are seeking a Data Scientist on an initial 6 month contract basis (37 hours per week). The role is paying £20.47 per hour for the duration of the contract, INSIDE IR35. LIVE SC CLEARANCE PREFFERED FOR THIS ROLE Qualifications PhD/Degree/MSc in a highly numerate subject (eg Data Science, Computer Science, Mathematics, Statistics, Physics) Mandatory Experience experience using open-source tools, such as Python, R and Git. Able to effectively translate and accurately communicate across technical and nontechnical stakeholders as well as facilitating discussions within a multidisciplinary team, with potentially difficult dynamics. Able to advocate for the team externally and can manage differing perspectives. Uses agreed standards and tools to design, code, test, correct and document moderate to complex programs and scripts from agreed specifications and subsequent iterations. Collaborates with others to review specifications where appropriate. Able to review requirements, specifications and define test conditions. Able to identify issues and risks associated with work whilst being able to analyse and report test activities and results. Understands and can help teams apply a range of practices. Develops deeper expertise on a narrower range of specialisms. Starts to apply emerging theory to practical situations. Can work with data engineers to map, produce, transform and test new data feeds for data owners and consumers, selecting the most appropriate tools and technologies. Can lead ad hoc data exploration in a wide variety of data serialisation and storage formats, from across the business, for data consumers. Displays strong intellectual curiosity and proactively explores areas of innovation in both government and industry. Can identify the business value for innovation within their organisation. Promotes and monitors continuous professional development within their organisation. Develops knowledge of cutting-edge techniques and shares knowledge. Propagates data science capability across the organisation. Successful candidates will be required to undergo BPSS Clearance, therefore applicants must of resided in the UK for a minimum of four out of the last five years, in order to undergo this level of security check.
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.