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.
02/06/2024
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.
01/06/2024
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.
31/05/2024
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
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.
31/05/2024
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.
31/05/2024
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.
31/05/2024
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.
31/05/2024
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 looking for a Business Support Technology Lead to join our Risk IT/Corporate IT team. This team supports businesses across Risk, Finance, Compliance and HR with a suite of applications. These applications are a combination of in-house and vendor technology. The team are responsible for developing these applications in line with stakeholder requirements - those stakeholders primarily being the various businesses and IT who will drive functional enhancements alongside maintenance activities like IT Security. The team is also responsible for maintaining a stable and performant production environment, investigating issues and providing fixes where required in line with business priorities. Job Purpose The primary responsibility for this role is to work on production support environment in Level 2 and ensure that fixing of daily queries, morning checks monitoring system performance, and providing cross-application support. The Candidate must understand the technical and functional intricacies of the suite of applications for Risk and Finance that they will be supporting, including the end-to-end business impacts. They will understand the interfaces to and from their respective systems such that they will be able to provide an accurate assessment of the current capabilities and limitations of the systems. They will understand the critical path of their batch and the associated downstream, upstream and business impacts. They will work closely with Level 3 team and other cross functional teams and check the handover process to make sure any changes that needs to be implemented to production have passed the quality control. The successful candidate(s) will work closely with other staff, Level 3 Application team to ensure cross-system interfaces, collaboration and knowledge management are managed effectively and proactively. Key Responsibilities Maintaining production stability & availability * You will ensure production break-fix and service improvement requirements take priority over change through effective stakeholder management and expectation setting. * You will actively work on and resolve any IT risks and vulnerabilities across the application stack. * You will contribute towards ensuring all batch SLA's/OLA's are appropriate, understood and agreed for the critical path of your batch processes, ensuring that you understand the full business impacts of any failures along that path. * You will ensure all fixes or known errors are maintained in the relevant knowledgebase. * You will ensure logical access management/security procedures and policies are followed. Analytics, problem solving & reporting * You will focus your attention on the identification of incident root cause and service improvement Performance * You will have a curiosity that will lead you to interrogate all technology, processes and data for opportunities to improve stability, customer experience and quality. * You will manage your own workload proactively and understand escalation processes. * Your primary focus will be on driving incident reduction demonstrated through improved production stability. * You will adhere to all group standards/policies and procedures. Servicing clients & team work * You will be fully supportive to other members or roles within the immediate and wider technology teams. * You will ensure strong peer to peer relationships within technology and the business by being proactive and understanding complexities, processes, challenges and priorities. Important relationships * Strong relationships with application development (L3) teams and contribute towards early engagement, input, challenge and delivery of all change initiatives. * Maintain relationships with the wider risk and control functions to ensure that risks are understood, documented and mitigated with clear action plans. * Day-to-day relationships with teams from other business units to ensure strong collaboration, awareness, and unification of approach, book of work, challenges, best practice, etc. * Strong operational relationships with Infrastructure platform support to contribute towards continued stability and availability of production services. Preferred Qualifications and Experience * Degree qualified or Bachelor's Degree in IT * 7 + years' experience in Risk and/or Finance application support * Preferred experience working in a function of Risk and/or Finance investment banking and understands the need for control in a banking environment * Business knowledge Finance, SAP and Financial Markets will be an advantageous * Evidence of progression and consistency in career to date. Technical skills, exposure or awareness: * SQL, C#, .Net, ASP.NET * Java, JavaScript, JSP/Servlets, * HTML, XML, JSON, SOAP, REST * Web, Application, SSAS and SSRS Servers * Windows and platforms Our Recruitment Delivery Team are committed to offering an inclusive recruitment experience to all candidates. If you require any accommodations or adjustments as a result of disability, impairment, or health condition, please do not hesitate to let me know.
31/05/2024
Full time
We are looking for a Business Support Technology Lead to join our Risk IT/Corporate IT team. This team supports businesses across Risk, Finance, Compliance and HR with a suite of applications. These applications are a combination of in-house and vendor technology. The team are responsible for developing these applications in line with stakeholder requirements - those stakeholders primarily being the various businesses and IT who will drive functional enhancements alongside maintenance activities like IT Security. The team is also responsible for maintaining a stable and performant production environment, investigating issues and providing fixes where required in line with business priorities. Job Purpose The primary responsibility for this role is to work on production support environment in Level 2 and ensure that fixing of daily queries, morning checks monitoring system performance, and providing cross-application support. The Candidate must understand the technical and functional intricacies of the suite of applications for Risk and Finance that they will be supporting, including the end-to-end business impacts. They will understand the interfaces to and from their respective systems such that they will be able to provide an accurate assessment of the current capabilities and limitations of the systems. They will understand the critical path of their batch and the associated downstream, upstream and business impacts. They will work closely with Level 3 team and other cross functional teams and check the handover process to make sure any changes that needs to be implemented to production have passed the quality control. The successful candidate(s) will work closely with other staff, Level 3 Application team to ensure cross-system interfaces, collaboration and knowledge management are managed effectively and proactively. Key Responsibilities Maintaining production stability & availability * You will ensure production break-fix and service improvement requirements take priority over change through effective stakeholder management and expectation setting. * You will actively work on and resolve any IT risks and vulnerabilities across the application stack. * You will contribute towards ensuring all batch SLA's/OLA's are appropriate, understood and agreed for the critical path of your batch processes, ensuring that you understand the full business impacts of any failures along that path. * You will ensure all fixes or known errors are maintained in the relevant knowledgebase. * You will ensure logical access management/security procedures and policies are followed. Analytics, problem solving & reporting * You will focus your attention on the identification of incident root cause and service improvement Performance * You will have a curiosity that will lead you to interrogate all technology, processes and data for opportunities to improve stability, customer experience and quality. * You will manage your own workload proactively and understand escalation processes. * Your primary focus will be on driving incident reduction demonstrated through improved production stability. * You will adhere to all group standards/policies and procedures. Servicing clients & team work * You will be fully supportive to other members or roles within the immediate and wider technology teams. * You will ensure strong peer to peer relationships within technology and the business by being proactive and understanding complexities, processes, challenges and priorities. Important relationships * Strong relationships with application development (L3) teams and contribute towards early engagement, input, challenge and delivery of all change initiatives. * Maintain relationships with the wider risk and control functions to ensure that risks are understood, documented and mitigated with clear action plans. * Day-to-day relationships with teams from other business units to ensure strong collaboration, awareness, and unification of approach, book of work, challenges, best practice, etc. * Strong operational relationships with Infrastructure platform support to contribute towards continued stability and availability of production services. Preferred Qualifications and Experience * Degree qualified or Bachelor's Degree in IT * 7 + years' experience in Risk and/or Finance application support * Preferred experience working in a function of Risk and/or Finance investment banking and understands the need for control in a banking environment * Business knowledge Finance, SAP and Financial Markets will be an advantageous * Evidence of progression and consistency in career to date. Technical skills, exposure or awareness: * SQL, C#, .Net, ASP.NET * Java, JavaScript, JSP/Servlets, * HTML, XML, JSON, SOAP, REST * Web, Application, SSAS and SSRS Servers * Windows and platforms Our Recruitment Delivery Team are committed to offering an inclusive recruitment experience to all candidates. If you require any accommodations or adjustments as a result of disability, impairment, or health condition, please do not hesitate to let me know.
The primary responsibility for this role is to work on production support environment in Level 2 and ensure that fixing of daily queries, morning checks monitoring system performance, and providing cross-application support. The Candidate must understand the technical and functional intricacies of the suite of applications for Risk and Finance that they will be supporting, including the end-to-end business impacts. They will understand the interfaces to and from their respective systems such that they will be able to provide an accurate assessment of the current capabilities and limitations of the systems. They will understand the critical path of their batch and the associated downstream, upstream and business impacts. They will work closely with Level 3 team and other cross functional teams and check the handover process to make sure any changes that needs to be implemented to production have passed the quality control. The successful candidate(s) will work closely with other staff, Level 3 Application team to ensure cross-system interfaces, collaboration and knowledge management are managed effectively and proactively. Key Responsibilities Maintaining production stability & availability * You will ensure production break-fix and service improvement requirements take priority over change through effective stakeholder management and expectation setting. * You will actively work on and resolve any IT risks and vulnerabilities across the application stack. * You will contribute towards ensuring all batch SLA's/OLA's are appropriate, understood and agreed for the critical path of your batch processes, ensuring that you understand the full business impacts of any failures along that path. * You will ensure all fixes or known errors are maintained in the relevant knowledgebase. * You will ensure logical access management/security procedures and policies are followed. Analytics, problem solving & reporting * You will focus your attention on the identification of incident root cause and service improvement Performance * You will have a curiosity that will lead you to interrogate all technology, processes and data for opportunities to improve stability, customer experience and quality. * You will manage your own workload proactively and understand escalation processes. * Your primary focus will be on driving incident reduction demonstrated through improved production stability. * You will adhere to all group standards/policies and procedures. Servicing clients & team work * You will be fully supportive to other members or roles within the immediate and wider technology teams. * You will ensure strong peer to peer relationships within technology and the business by being proactive and understanding complexities, processes, challenges and priorities. Important relationships * Strong relationships with application development (L3) teams and contribute towards early engagement, input, challenge and delivery of all change initiatives. * Maintain relationships with the wider risk and control functions to ensure that risks are understood, documented and mitigated with clear action plans. * Day-to-day relationships with teams from other business units to ensure strong collaboration, awareness, and unification of approach, book of work, challenges, best practice, etc. * Strong operational relationships with Infrastructure platform support to contribute towards continued stability and availability of production services. Preferred Qualifications and Experience * Degree qualified or Bachelor's Degree in IT * 3 to 5 + years' experience in Risk and/or Finance application support Lead Role * Preferred experience working in a function of Risk and/or Finance investment banking and understands the need for control in a banking environment * Business knowledge for Credit and Market Risk will be an advantageous * Evidence of progression and consistency in career to date. Technical skills, exposure or awareness: * SQL, C#, .Net, ASP.NET * Java, JavaScript, JSP/Servlets, * HTML, XML, JSON, SOAP, REST * Web, Application, SSAS and SSRS Servers * Windows and platforms Our Recruitment Delivery Team are committed to offering an inclusive recruitment experience to all candidates. If you require any accommodations or adjustments as a result of disability, impairment, or health condition, please do not hesitate to let me know.
31/05/2024
Full time
The primary responsibility for this role is to work on production support environment in Level 2 and ensure that fixing of daily queries, morning checks monitoring system performance, and providing cross-application support. The Candidate must understand the technical and functional intricacies of the suite of applications for Risk and Finance that they will be supporting, including the end-to-end business impacts. They will understand the interfaces to and from their respective systems such that they will be able to provide an accurate assessment of the current capabilities and limitations of the systems. They will understand the critical path of their batch and the associated downstream, upstream and business impacts. They will work closely with Level 3 team and other cross functional teams and check the handover process to make sure any changes that needs to be implemented to production have passed the quality control. The successful candidate(s) will work closely with other staff, Level 3 Application team to ensure cross-system interfaces, collaboration and knowledge management are managed effectively and proactively. Key Responsibilities Maintaining production stability & availability * You will ensure production break-fix and service improvement requirements take priority over change through effective stakeholder management and expectation setting. * You will actively work on and resolve any IT risks and vulnerabilities across the application stack. * You will contribute towards ensuring all batch SLA's/OLA's are appropriate, understood and agreed for the critical path of your batch processes, ensuring that you understand the full business impacts of any failures along that path. * You will ensure all fixes or known errors are maintained in the relevant knowledgebase. * You will ensure logical access management/security procedures and policies are followed. Analytics, problem solving & reporting * You will focus your attention on the identification of incident root cause and service improvement Performance * You will have a curiosity that will lead you to interrogate all technology, processes and data for opportunities to improve stability, customer experience and quality. * You will manage your own workload proactively and understand escalation processes. * Your primary focus will be on driving incident reduction demonstrated through improved production stability. * You will adhere to all group standards/policies and procedures. Servicing clients & team work * You will be fully supportive to other members or roles within the immediate and wider technology teams. * You will ensure strong peer to peer relationships within technology and the business by being proactive and understanding complexities, processes, challenges and priorities. Important relationships * Strong relationships with application development (L3) teams and contribute towards early engagement, input, challenge and delivery of all change initiatives. * Maintain relationships with the wider risk and control functions to ensure that risks are understood, documented and mitigated with clear action plans. * Day-to-day relationships with teams from other business units to ensure strong collaboration, awareness, and unification of approach, book of work, challenges, best practice, etc. * Strong operational relationships with Infrastructure platform support to contribute towards continued stability and availability of production services. Preferred Qualifications and Experience * Degree qualified or Bachelor's Degree in IT * 3 to 5 + years' experience in Risk and/or Finance application support Lead Role * Preferred experience working in a function of Risk and/or Finance investment banking and understands the need for control in a banking environment * Business knowledge for Credit and Market Risk will be an advantageous * Evidence of progression and consistency in career to date. Technical skills, exposure or awareness: * SQL, C#, .Net, ASP.NET * Java, JavaScript, JSP/Servlets, * HTML, XML, JSON, SOAP, REST * Web, Application, SSAS and SSRS Servers * Windows and platforms Our Recruitment Delivery Team are committed to offering an inclusive recruitment experience to all candidates. If you require any accommodations or adjustments as a result of disability, impairment, or health condition, please do not hesitate to let me know.
Computer Vision Engineer Location: Hybrid (Camberwell office and remote work) Salary: Up to £55,000 per annum (depending on experience) + Benefits Company Overview Our client is a leading technology company focused on developing innovative in-house products to solve real-world problems. Our team is dedicated to pushing the boundaries of whats possible with cutting-edge technology and robust engineering practices. They are currently seeking a talented Computer Vision Engineer to join our dynamic team and help develop new features for our products. Role Overview As a Computer Vision Engineer, you will be responsible for enhancing our in-house product by developing and implementing new computer vision features. You will work closely with a team of engineers and data scientists to design, develop, and deploy robust computer vision solutions. This hybrid role requires both in-office presence in Camberwell and remote working capabilities. Key Responsibilities . Develop and implement new computer vision features for our in-house product. . Collaborate with cross-functional teams to design, prototype, and deploy computer vision solutions. . Optimize and improve existing computer vision algorithms for performance and accuracy. . Integrate and manage computer vision pipelines using AWS Cloud services. . Utilize ROS 2 for developing and managing robotic systems. . Use GitLab for version control and continuous integration/continuous deployment (CI/CD) processes. . Leverage Pytorch and Roboflow for model training, evaluation, and deployment. . Conduct thorough testing and debugging of computer vision applications. . Stay updated with the latest advancements in computer vision and related fields. Required Skills and Experience . Programming Languages: Proficiency in Python and C++. . Cloud Services: Experience with AWS Cloud infrastructure and services. . Robotic Operating System: Experience with ROS 2. . Version Control: Proficient in using GitLab for source code management and CI/CD. . Machine Learning Frameworks: Strong experience with Pytorch. . Data Annotation and Management: Experience with Roboflow or similar tools. . Problem Solving: Excellent analytical and problem-solving skills. . Collaboration: Strong ability to work collaboratively in a team-oriented environment. . Communication: Effective verbal and written communication skills. Preferred Qualifications . Bachelors or Master's degree in Computer Science, Electrical Engineering, or a related field. . Experience with computer vision applications in real-world products. . Familiarity with Agile development methodologies. . Prior experience in a hybrid working environment. Benefits Competitive salary up to £55,000 per annum, depending on experience. Flexible hybrid working model. Opportunities for professional development and career progression. Collaborative and innovative working environment. Access to cutting-edge technology and tools. Application Process
31/05/2024
Full time
Computer Vision Engineer Location: Hybrid (Camberwell office and remote work) Salary: Up to £55,000 per annum (depending on experience) + Benefits Company Overview Our client is a leading technology company focused on developing innovative in-house products to solve real-world problems. Our team is dedicated to pushing the boundaries of whats possible with cutting-edge technology and robust engineering practices. They are currently seeking a talented Computer Vision Engineer to join our dynamic team and help develop new features for our products. Role Overview As a Computer Vision Engineer, you will be responsible for enhancing our in-house product by developing and implementing new computer vision features. You will work closely with a team of engineers and data scientists to design, develop, and deploy robust computer vision solutions. This hybrid role requires both in-office presence in Camberwell and remote working capabilities. Key Responsibilities . Develop and implement new computer vision features for our in-house product. . Collaborate with cross-functional teams to design, prototype, and deploy computer vision solutions. . Optimize and improve existing computer vision algorithms for performance and accuracy. . Integrate and manage computer vision pipelines using AWS Cloud services. . Utilize ROS 2 for developing and managing robotic systems. . Use GitLab for version control and continuous integration/continuous deployment (CI/CD) processes. . Leverage Pytorch and Roboflow for model training, evaluation, and deployment. . Conduct thorough testing and debugging of computer vision applications. . Stay updated with the latest advancements in computer vision and related fields. Required Skills and Experience . Programming Languages: Proficiency in Python and C++. . Cloud Services: Experience with AWS Cloud infrastructure and services. . Robotic Operating System: Experience with ROS 2. . Version Control: Proficient in using GitLab for source code management and CI/CD. . Machine Learning Frameworks: Strong experience with Pytorch. . Data Annotation and Management: Experience with Roboflow or similar tools. . Problem Solving: Excellent analytical and problem-solving skills. . Collaboration: Strong ability to work collaboratively in a team-oriented environment. . Communication: Effective verbal and written communication skills. Preferred Qualifications . Bachelors or Master's degree in Computer Science, Electrical Engineering, or a related field. . Experience with computer vision applications in real-world products. . Familiarity with Agile development methodologies. . Prior experience in a hybrid working environment. Benefits Competitive salary up to £55,000 per annum, depending on experience. Flexible hybrid working model. Opportunities for professional development and career progression. Collaborative and innovative working environment. Access to cutting-edge technology and tools. Application Process
Business Systems Manager - Automation and Low/No Code Specialist Hybrid working - 50/50 split Circa £62,000 + excellent benefits Are you an aspiring leader with a passion for automation and leveraging Microsoft technologies to drive business innovation? Join my clients dynamic organisation in Newcastle as a Senior Business Systems Analyst, where you'll lead initiatives focused on automation, low/no code solutions, and maximising the potential of Microsoft technologies. Key Responsibilities: Strategic Leadership: Provide strategic direction and leadership in the adoption and implementation of automation solutions, leveraging low/no code platforms and Microsoft technologies to drive efficiency and productivity across the organisation. Requirements Management: Lead the development and sign-off of Requirements Specification documents for automation projects, collaborating closely with stakeholders to ensure alignment with business objectives. Change Management: Drive effective change management processes for automation initiatives, overseeing modifications to project documentation and ensuring clarity and consistency throughout the project life cycle. Cross-Functional Collaboration: Foster collaboration and communication across departments, serving as a liaison between technical teams and business units to ensure seamless project delivery. Team Mentorship: Mentor and support junior members of the team, providing guidance and expertise in automation and low/no code solutions to help them grow and develop in their roles. Technical Experience Required: Power Platform - specifically Power Apps & Power Automate Automation tools such as PowerShell, RBA, UIPath Experience working in an Azure environment Exposure to alternative low/no code technologies would be a bonus Skills/Experience Required: Leadership Experience: Previous experience in a leadership role within an end-user organisation, with a focus on driving automation initiatives and leveraging low/no code platforms. Analytical Expertise: Strong analytical skills, with the ability to gather and interpret business requirements and translate them into actionable automation solutions. Communication Skills: Excellent written and verbal communication skills, with the ability to effectively engage and influence stakeholders at all levels of the organisation. Technical Proficiency: Proficiency in Microsoft technologies, including Azure services, Dynamics Power Platform, and Power Apps, with a strong understanding of automation principles and low/no code development. This is an exceptional opportunity for an aspiring leader to make a significant impact in driving automation and innovation within our organisation. If you're ready to take on a leadership role and drive digital transformation using Microsoft technologies, we want to hear from you. Please send your CV for immediate review. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
31/05/2024
Full time
Business Systems Manager - Automation and Low/No Code Specialist Hybrid working - 50/50 split Circa £62,000 + excellent benefits Are you an aspiring leader with a passion for automation and leveraging Microsoft technologies to drive business innovation? Join my clients dynamic organisation in Newcastle as a Senior Business Systems Analyst, where you'll lead initiatives focused on automation, low/no code solutions, and maximising the potential of Microsoft technologies. Key Responsibilities: Strategic Leadership: Provide strategic direction and leadership in the adoption and implementation of automation solutions, leveraging low/no code platforms and Microsoft technologies to drive efficiency and productivity across the organisation. Requirements Management: Lead the development and sign-off of Requirements Specification documents for automation projects, collaborating closely with stakeholders to ensure alignment with business objectives. Change Management: Drive effective change management processes for automation initiatives, overseeing modifications to project documentation and ensuring clarity and consistency throughout the project life cycle. Cross-Functional Collaboration: Foster collaboration and communication across departments, serving as a liaison between technical teams and business units to ensure seamless project delivery. Team Mentorship: Mentor and support junior members of the team, providing guidance and expertise in automation and low/no code solutions to help them grow and develop in their roles. Technical Experience Required: Power Platform - specifically Power Apps & Power Automate Automation tools such as PowerShell, RBA, UIPath Experience working in an Azure environment Exposure to alternative low/no code technologies would be a bonus Skills/Experience Required: Leadership Experience: Previous experience in a leadership role within an end-user organisation, with a focus on driving automation initiatives and leveraging low/no code platforms. Analytical Expertise: Strong analytical skills, with the ability to gather and interpret business requirements and translate them into actionable automation solutions. Communication Skills: Excellent written and verbal communication skills, with the ability to effectively engage and influence stakeholders at all levels of the organisation. Technical Proficiency: Proficiency in Microsoft technologies, including Azure services, Dynamics Power Platform, and Power Apps, with a strong understanding of automation principles and low/no code development. This is an exceptional opportunity for an aspiring leader to make a significant impact in driving automation and innovation within our organisation. If you're ready to take on a leadership role and drive digital transformation using Microsoft technologies, we want to hear from you. Please send your CV for immediate review. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Senior Data Architect Opportunity - Scotland - Hybrid/Remote The Bridge IT have partnered with a leading energy supplier who are due to undertake a large data transformation spanning across the organisation. As a Senior Data Architect, you will play a pivotal role in designing, creating, and managing our clients data architecture. Reporting to the Lead Data Architect, you will be instrumental in establishing a solid foundation for data analytics and data management, ensuring data is organised, accessible, secure, and aligned with business objectives. Key Responsibilities: Design, create, and manage comprehensive data architecture to support data analytics and management. Understand and address business issues, events, and activities, considering their wider implications and long-term impact. Ensure that detailed designs and solutions align with the solution data architecture. Manage and resolve design issues, working closely with the applications/integration team to ensure standards adherence and proper documentation. Design the structure and layout of data systems and platforms and assess the impact of business change requests on existing data architecture and support the prioritisation of these changes. Translate high-level business requirements into data models, metadata, test data, and data quality standards. Work closely with various departments and third parties to facilitate data-driven decision-making and optimise the organisation's data ecosystem. Required Skills: Extensive experience in designing and implementing data architectures in large-scale environments. Proficiency with cloud services (Azure preferred). Strong background in metadata management, and ensuring data quality. Hands-on experience with data integration, ETL processes, and data consistency. Experience in data governance, security, and compliance. Proven ability to manage and resolve design issues in data architecture projects. Collaborative experience with cross-functional teams for data-driven decision-making. Ability to relate architectural decisions to business needs and strategic plans. Proficiency with data management tools, database systems, and big data technologies. In return, my client can offer between £70,000 - £80,000 with a 10% annual bonus and 34 days holiday. Please apply to hear more about our clients exciting data transformation!
31/05/2024
Full time
Senior Data Architect Opportunity - Scotland - Hybrid/Remote The Bridge IT have partnered with a leading energy supplier who are due to undertake a large data transformation spanning across the organisation. As a Senior Data Architect, you will play a pivotal role in designing, creating, and managing our clients data architecture. Reporting to the Lead Data Architect, you will be instrumental in establishing a solid foundation for data analytics and data management, ensuring data is organised, accessible, secure, and aligned with business objectives. Key Responsibilities: Design, create, and manage comprehensive data architecture to support data analytics and management. Understand and address business issues, events, and activities, considering their wider implications and long-term impact. Ensure that detailed designs and solutions align with the solution data architecture. Manage and resolve design issues, working closely with the applications/integration team to ensure standards adherence and proper documentation. Design the structure and layout of data systems and platforms and assess the impact of business change requests on existing data architecture and support the prioritisation of these changes. Translate high-level business requirements into data models, metadata, test data, and data quality standards. Work closely with various departments and third parties to facilitate data-driven decision-making and optimise the organisation's data ecosystem. Required Skills: Extensive experience in designing and implementing data architectures in large-scale environments. Proficiency with cloud services (Azure preferred). Strong background in metadata management, and ensuring data quality. Hands-on experience with data integration, ETL processes, and data consistency. Experience in data governance, security, and compliance. Proven ability to manage and resolve design issues in data architecture projects. Collaborative experience with cross-functional teams for data-driven decision-making. Ability to relate architectural decisions to business needs and strategic plans. Proficiency with data management tools, database systems, and big data technologies. In return, my client can offer between £70,000 - £80,000 with a 10% annual bonus and 34 days holiday. Please apply to hear more about our clients exciting data transformation!
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking an AWS DevOps Software Engineer. Candidate will provide subject matter expertise for ongoing support of applications deployed to non-production AWS environments and supporting 3rd party applications. Identify root causes and automate solutions in support of development. Candidate will have a deep understanding of DevOps practices, leadership skills, and expertise in various tools and technologies. You will be working in a fast-paced, dynamic environment, using cutting-edge tools and cloud technologies. Manage day to day activities when called upon. Responsibilities: Desing Develop release and support, Cloud Native applications running on Containers Kubernetes and Docker within AWS. DevOps Strategy: Develop and implement DevOps strategies and best practices to enhance development, testing, and deployment processes. Possess in-depth knowledge and hands-on experience with DevOps tools and technologies, including but not limited to GitHub, Jenkins, Terraform, Ansible, Kafka, AWS, Apigee. Support the lower environments for incident and problem management. Resolve complex support issues in non-production environments. Create procedural and troubleshooting documentation related to cloud native applications. Write complex automation scripts using common automation tools, such as yaml, Json, Bash, Groovy, Ansible, Terraform and python, Perform other duties as assigned Qualifications: Excellent problem-solving skills. Ability to work independently. Ability to work with management to prioritize tasks. Demonstrate strong confidence in abilities and knowledge. Ability to work well in crisis situations. Ability to work under minimal supervision. Flexibility to be on call from 5 PM to 7 AM for 3 months per year. Good written and oral communication skills. Technical Skills: Expertise on Kubernetes and Docker, including best practices Expertise in cloud containerization; design, develop and troubleshoot Strong programming or Scripting skills in yaml, Helm Charts, Json, Bash, Groovy, Ansible, Terraform, python or Java. Advance level on Networking technologies CI/CD tools such as Artifactory, Jenkins, and GIT, SonarQube Experience with cloud-based systems such as AWS, Azure, or Google Cloud, including expertise in IaC and CaC; Ansible, Terraform Experience with Kafka infrastructure and processes Understanding of software development methodologies and Agile practices Excellent analytical and problem-solving skills, with the ability to troubleshoot and identify the root cause of issues Good verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams. Familiarity with monitoring and logging tools such Elk stack, Splunk. Familiarity with Technologies used to support microservices. Minimum 7 years experience working in a distributed multi-platform environment. Minimum 3 years experience working with Kubernetes. Minimum 3 years experience working on Scripting or Programming Bachelor's degree in a related area Cloud Certification a plus
30/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking an AWS DevOps Software Engineer. Candidate will provide subject matter expertise for ongoing support of applications deployed to non-production AWS environments and supporting 3rd party applications. Identify root causes and automate solutions in support of development. Candidate will have a deep understanding of DevOps practices, leadership skills, and expertise in various tools and technologies. You will be working in a fast-paced, dynamic environment, using cutting-edge tools and cloud technologies. Manage day to day activities when called upon. Responsibilities: Desing Develop release and support, Cloud Native applications running on Containers Kubernetes and Docker within AWS. DevOps Strategy: Develop and implement DevOps strategies and best practices to enhance development, testing, and deployment processes. Possess in-depth knowledge and hands-on experience with DevOps tools and technologies, including but not limited to GitHub, Jenkins, Terraform, Ansible, Kafka, AWS, Apigee. Support the lower environments for incident and problem management. Resolve complex support issues in non-production environments. Create procedural and troubleshooting documentation related to cloud native applications. Write complex automation scripts using common automation tools, such as yaml, Json, Bash, Groovy, Ansible, Terraform and python, Perform other duties as assigned Qualifications: Excellent problem-solving skills. Ability to work independently. Ability to work with management to prioritize tasks. Demonstrate strong confidence in abilities and knowledge. Ability to work well in crisis situations. Ability to work under minimal supervision. Flexibility to be on call from 5 PM to 7 AM for 3 months per year. Good written and oral communication skills. Technical Skills: Expertise on Kubernetes and Docker, including best practices Expertise in cloud containerization; design, develop and troubleshoot Strong programming or Scripting skills in yaml, Helm Charts, Json, Bash, Groovy, Ansible, Terraform, python or Java. Advance level on Networking technologies CI/CD tools such as Artifactory, Jenkins, and GIT, SonarQube Experience with cloud-based systems such as AWS, Azure, or Google Cloud, including expertise in IaC and CaC; Ansible, Terraform Experience with Kafka infrastructure and processes Understanding of software development methodologies and Agile practices Excellent analytical and problem-solving skills, with the ability to troubleshoot and identify the root cause of issues Good verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams. Familiarity with monitoring and logging tools such Elk stack, Splunk. Familiarity with Technologies used to support microservices. Minimum 7 years experience working in a distributed multi-platform environment. Minimum 3 years experience working with Kubernetes. Minimum 3 years experience working on Scripting or Programming Bachelor's degree in a related area Cloud Certification a plus
*We are unable to sponsor for this contract role* Prestigious Enterprise Company is currently seeking a Data Quality Test Engineer with SQL testing experience. Candidate will be responsible for ensuring the successful implementation of new features as well as improvement of existing functionality for data architecture projects. This includes Integration testing, Customer Data Quality testing, Data verification testing, Regression testing etc. This is a hands-on testing position which requires deep knowledge and understanding of all aspects of developing and executing Back End testing. The Test Engineer must be an advocate for all things Testing and Quality Assurance while driving and implementing best practices. The ideal candidate must possess strong analytical and critical thinking abilities. Data testing skills are required. Responsibilities: Review business requirements, functional specifications, use cases, design, and architecture documents to create effective, value-add test plans. Identify and close gaps, by assisting in QA discovery or analysis of a built or process, in order to facilitate requirements refinements. Identify issues in data, application configurations and screen designs, report and oversee issue resolution. Become an expert in business rules, system functionality and architecture. Plan and execute Manual, Functional, and Regression test suite. Independently develop, modify, and execute test plans based on requirements and design documents. Contribute to and maintain project documentation. Provide concise and consistent status reporting. Identify, report and track defects and User Experience issues through a system of record. Collaborate with external teams on root cause analysis. Maintain close interaction with business and technical peers during the project life cycle. Ensuring proper traceability from requirements to test artifacts. Actively participate in requirements and code reviews. Actively participate and drive improvements in Agile Scrum delivery. Be a thought leader in the test design and execution arena (manual and automated). Identify process bottlenecks and suggest improvement actions. Stay abreast of emerging technologies and testing approaches. Creation and input of test data, either manually or by using tools, programs, or masked production data to execute test cases. Qualifications Bachelor's degree in Computer Science or related area. Hands-on experience using SQL queries for results validation and data mining. Hands-on experience in Planning and Manual test execution. Experience in Regression Test Strategies, Regression suite maintenance and execution. At least 3-5 years of professional experience on a variety of projects in Test Strategy, Test Design, Test Execution analysis & reporting. Hands-on experience with Jira, ALM, TFS/ADO or similar systems of record. Understanding of Development and Test cycles, including respective best practices. Hands-on experience in Agile and Waterfall methodologies. Ability to troubleshoot issues, identifying root causes and support development team in development of resolutions. Strong communication and Client/Business interfacing and interpersonal skills are a must.
30/05/2024
Project-based
*We are unable to sponsor for this contract role* Prestigious Enterprise Company is currently seeking a Data Quality Test Engineer with SQL testing experience. Candidate will be responsible for ensuring the successful implementation of new features as well as improvement of existing functionality for data architecture projects. This includes Integration testing, Customer Data Quality testing, Data verification testing, Regression testing etc. This is a hands-on testing position which requires deep knowledge and understanding of all aspects of developing and executing Back End testing. The Test Engineer must be an advocate for all things Testing and Quality Assurance while driving and implementing best practices. The ideal candidate must possess strong analytical and critical thinking abilities. Data testing skills are required. Responsibilities: Review business requirements, functional specifications, use cases, design, and architecture documents to create effective, value-add test plans. Identify and close gaps, by assisting in QA discovery or analysis of a built or process, in order to facilitate requirements refinements. Identify issues in data, application configurations and screen designs, report and oversee issue resolution. Become an expert in business rules, system functionality and architecture. Plan and execute Manual, Functional, and Regression test suite. Independently develop, modify, and execute test plans based on requirements and design documents. Contribute to and maintain project documentation. Provide concise and consistent status reporting. Identify, report and track defects and User Experience issues through a system of record. Collaborate with external teams on root cause analysis. Maintain close interaction with business and technical peers during the project life cycle. Ensuring proper traceability from requirements to test artifacts. Actively participate in requirements and code reviews. Actively participate and drive improvements in Agile Scrum delivery. Be a thought leader in the test design and execution arena (manual and automated). Identify process bottlenecks and suggest improvement actions. Stay abreast of emerging technologies and testing approaches. Creation and input of test data, either manually or by using tools, programs, or masked production data to execute test cases. Qualifications Bachelor's degree in Computer Science or related area. Hands-on experience using SQL queries for results validation and data mining. Hands-on experience in Planning and Manual test execution. Experience in Regression Test Strategies, Regression suite maintenance and execution. At least 3-5 years of professional experience on a variety of projects in Test Strategy, Test Design, Test Execution analysis & reporting. Hands-on experience with Jira, ALM, TFS/ADO or similar systems of record. Understanding of Development and Test cycles, including respective best practices. Hands-on experience in Agile and Waterfall methodologies. Ability to troubleshoot issues, identifying root causes and support development team in development of resolutions. Strong communication and Client/Business interfacing and interpersonal skills are a must.
NO SPONSORSHIP Principal, Product Manager - Financial Risk Management and Systems SALARY: $190k plus 15% bonus LOCATION: CHICAGO, IL Hybrid 3 days onsite Looking for a candidate with experience as a product manager/owner agile product manager experience financial services general security markets derivatives knowledge multiple asset classes like equities interest rates volatility commodities foreign currencies risk pillar specify control counter party clearing statements of derivatives financial risk management and regulated capital markets infrastructure Jira confluence tableau MS Applications 10 years of financial risk management Summary: The Product Owner at the will be responsible for maximizing the value of the Products delivered to our stakeholders by representing business interests, working with our technology teams to determine requirements, creating a product roadmap for development, and prioritizing the work. The Product Owner will work in a hybrid agile methodology collaborating with cross-functional teams. The Product Owner must ensure that the technology teams understand and are aligned with the Product vision and that leadership is kept aware of Product progress and status. Primary Duties and Responsibilities: To perform this job successfully, an individual must be able to perform each primary duty satisfactorily. Stakeholder Engagement and Management o Act as the primary point of contact for stakeholders regarding the product backlog and product development o Interact with internal and external stakeholders such as regulators, exchanges and other external parties in explaining OCC's Products o Elicit, interpret, lead requirement workshop discussions with vendors, stakeholders and/or product owners; assist in the development of backlog items and acceptance criteria o Work with internal and external stakeholders to understand their needs and ensure that they are reflected in the product backlog o Maintain direct communications with senior and middle management o Coordinate preparation of materials for Management Committee, Board of Directors and Regulatory meetings as needed o Maintain Product Vision and Roadmap o Understand regulatory requirements and drivers impacting development goals and plans o Evaluate product changes and recommend needed process and system changes o Develop functional capabilities within the organization by driving innovation and continuous process improvements o Collaborate with cross-functional teams to define and prioritize the product backlog o Refine the product backlog to ensure that it is ready for development o Maintain product budget and forecast. Seek to optimize product delivery in the most cost effective manner. o Collaborate with technology partners and teams to drive strategic plans for the system development, integration and deployment o Work with the Project Owners/Managers, Technology Lead, and Scrum Master to ensure that the team is following the hybrid agile methodology and that any issues are addressed in a timely manner o Document and/or sign-off on acceptance criteria for user stories o Ensure that the product backlog is transparent, visible, and understood by all stakeholders o Ensure there is a clear traceability of requirements to deliverables o Ensure the product complies with all non-functional requirements o Comply with all product delivery controls and procedures Product Leadership Product Delivery Product Integrity Quality Management Team Leadership Qualifications: Previous experience as a Product Manager/Owner in a hybrid agile methodology is required Strong understanding of Agile product management methodologies and product development processes Excellent communication, collaboration, and presentation skills Strong interpersonal and influencing skills, including ability to interact effectively with peers, all levels of management, regulators and member firms Ability to work effectively with and lead cross-functional teams Strong analytical and problem-solving skills Demonstrated ability to gather, analyze, and evaluate facts, and prepare and present concise oral and written reports Ability to prioritize and manage multiple tasks and projects simultaneously Ability to work independently in a fast-paced, dynamic environment Must be able to work under deadlines and manage multiple tasks Self-directed; Ability to work both independently with minimal direction or oversight in a team-oriented, collaborative environment Experience working in the financial services industry General securities markets, derivatives knowledge required Strong knowledge in multiple asset classes like equities, interest rates, volatility, commodities, and foreign currencies (Risk Pillar Specific) Experience with central counter-party clearing, settlement of derivatives, financial risk management and regulated capital markets infrastructure Willingness to roll up your sleeves and do whatever is necessary Technical Skills: Proficiency using Jira, Confluence, Tableau and Microsoft Office applications Education and/or Experience: Bachelor's degree MBA, MS or equivalent graduate degree in a relevant field preferred 10+ years of financial risk management experience leading teams and building robust business processes is required 2+ years of product management experience, preferably with Risk Management products and capabilities Demonstrated experience with ensuring effective process change management 10+ years of experience in financial services/regulated capital markets infrastructure. Experience with an exchange, regulator or clearing house preferred
30/05/2024
Full time
NO SPONSORSHIP Principal, Product Manager - Financial Risk Management and Systems SALARY: $190k plus 15% bonus LOCATION: CHICAGO, IL Hybrid 3 days onsite Looking for a candidate with experience as a product manager/owner agile product manager experience financial services general security markets derivatives knowledge multiple asset classes like equities interest rates volatility commodities foreign currencies risk pillar specify control counter party clearing statements of derivatives financial risk management and regulated capital markets infrastructure Jira confluence tableau MS Applications 10 years of financial risk management Summary: The Product Owner at the will be responsible for maximizing the value of the Products delivered to our stakeholders by representing business interests, working with our technology teams to determine requirements, creating a product roadmap for development, and prioritizing the work. The Product Owner will work in a hybrid agile methodology collaborating with cross-functional teams. The Product Owner must ensure that the technology teams understand and are aligned with the Product vision and that leadership is kept aware of Product progress and status. Primary Duties and Responsibilities: To perform this job successfully, an individual must be able to perform each primary duty satisfactorily. Stakeholder Engagement and Management o Act as the primary point of contact for stakeholders regarding the product backlog and product development o Interact with internal and external stakeholders such as regulators, exchanges and other external parties in explaining OCC's Products o Elicit, interpret, lead requirement workshop discussions with vendors, stakeholders and/or product owners; assist in the development of backlog items and acceptance criteria o Work with internal and external stakeholders to understand their needs and ensure that they are reflected in the product backlog o Maintain direct communications with senior and middle management o Coordinate preparation of materials for Management Committee, Board of Directors and Regulatory meetings as needed o Maintain Product Vision and Roadmap o Understand regulatory requirements and drivers impacting development goals and plans o Evaluate product changes and recommend needed process and system changes o Develop functional capabilities within the organization by driving innovation and continuous process improvements o Collaborate with cross-functional teams to define and prioritize the product backlog o Refine the product backlog to ensure that it is ready for development o Maintain product budget and forecast. Seek to optimize product delivery in the most cost effective manner. o Collaborate with technology partners and teams to drive strategic plans for the system development, integration and deployment o Work with the Project Owners/Managers, Technology Lead, and Scrum Master to ensure that the team is following the hybrid agile methodology and that any issues are addressed in a timely manner o Document and/or sign-off on acceptance criteria for user stories o Ensure that the product backlog is transparent, visible, and understood by all stakeholders o Ensure there is a clear traceability of requirements to deliverables o Ensure the product complies with all non-functional requirements o Comply with all product delivery controls and procedures Product Leadership Product Delivery Product Integrity Quality Management Team Leadership Qualifications: Previous experience as a Product Manager/Owner in a hybrid agile methodology is required Strong understanding of Agile product management methodologies and product development processes Excellent communication, collaboration, and presentation skills Strong interpersonal and influencing skills, including ability to interact effectively with peers, all levels of management, regulators and member firms Ability to work effectively with and lead cross-functional teams Strong analytical and problem-solving skills Demonstrated ability to gather, analyze, and evaluate facts, and prepare and present concise oral and written reports Ability to prioritize and manage multiple tasks and projects simultaneously Ability to work independently in a fast-paced, dynamic environment Must be able to work under deadlines and manage multiple tasks Self-directed; Ability to work both independently with minimal direction or oversight in a team-oriented, collaborative environment Experience working in the financial services industry General securities markets, derivatives knowledge required Strong knowledge in multiple asset classes like equities, interest rates, volatility, commodities, and foreign currencies (Risk Pillar Specific) Experience with central counter-party clearing, settlement of derivatives, financial risk management and regulated capital markets infrastructure Willingness to roll up your sleeves and do whatever is necessary Technical Skills: Proficiency using Jira, Confluence, Tableau and Microsoft Office applications Education and/or Experience: Bachelor's degree MBA, MS or equivalent graduate degree in a relevant field preferred 10+ years of financial risk management experience leading teams and building robust business processes is required 2+ years of product management experience, preferably with Risk Management products and capabilities Demonstrated experience with ensuring effective process change management 10+ years of experience in financial services/regulated capital markets infrastructure. Experience with an exchange, regulator or clearing house preferred
*We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Oracle Applications DBA Tech Lead/Manager. This is a hands-on tech lead/manager. They will focus on all Oracle ERP applications and will focus heavily on Oracle EBS (11i/R12). This company is looking for someone with heavy Oracle Fusion Cloud experience. Responsibilities: You will support the following levels: Physical - you will be responsible for the physical and technical oriented aspects eg, storage, security, networking and more; Application - you will handle all application-related issues (eg, queries, users, Embedded SQL's etc.) You will ensure database resources are sized properly and a design strategy is developed to make sure that the database is maintained at a healthy size. You will ensure availability and performance of multi database and application environments with very large volumes and sizes. Responsible to manage Oracle Cloud OCI platform and maintain the ongoing integrations and configurations to keep the Cloud platform in a healthy condition. You will manage or perform routine DBA tasks like database maintenance, backups, recovery, table space management, upgrades, etc. You will execute periodic health checks for databases and recommend changes that should be executed in the production environment to ensure optimal performance. You will interact and work with multiple infrastructure, Security and IT teams as part of environment setup, maintenance and support. This is an important function of this role. Plans and responds to service outages including backup and restore. Monitors system performance diagnosing software and hardware failures to resolution Provides patch management and distribution capabilities to prevent new threats with minimized physical infrastructure impacts. Creates and tests data backups. Provides data cleansing services, verifies data integrity, and implements access controls. Performs database configuration, monitoring, and tuning. Routine maintenance including problem defect analysis and resolution, space, storage, object management, physical database layout, rollback segment management, and temporary space management. Supports logs and alerts, access rights and roles, database instance version control. New IDs, roles, authorizations, audits, locked/unlocked status, revocation. Performs memory usage monitoring, database parameter configuration, database resources, I/O distribution. Ensures system health, maintenance, technical security, recovery, and basic application technical tuning. Maintains Oracle Quarterly Releases and patch management schedules. Supports Systems Development, Migration, and Integration efforts as needed. Significant contributor to work plans for security analysis and recommendations Qualifications: Bachelor's Degree Computer Science or similar required 10+ years Oracle EBS (11i/R12) Minimum five (5) years in ERP Cloud platform 20+ years of experience as Oracle ERP APPS DBA Must have executed a minimum of two Upgrade cycles in the past. Will be responsible for Cutover Downtime reduction thru process improvements in each Upgrade iteration, Must have experience in EBS Application architecture, Concurrent managers, Workflow, layout of application on infrastructure, etc. Must have excellent knowledge in cloning, patching, backup recovery of ERP application including knowledge of ODI, FAW/ADW, Performance tuning, SQL profiling Must have hands on experience of RMAN, Backup Management and different Recovery techniques. Design and Implement disaster recovery plans. Support Oracle Cloud and EBS developers for custom coding, code migration, workflow and concurrent requests Knowledge of system administration functionality within Oracle Cloud ERP, Unix Shell Scripting skills on Oracle ODA's and OVM's Ability to manage and supervise DBA staff in the team. Responsible for providing day-to-day status and maintenance for Oracle EBS and ERP Cloud. Work with multiple application teams and developers.
30/05/2024
Full time
*We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Oracle Applications DBA Tech Lead/Manager. This is a hands-on tech lead/manager. They will focus on all Oracle ERP applications and will focus heavily on Oracle EBS (11i/R12). This company is looking for someone with heavy Oracle Fusion Cloud experience. Responsibilities: You will support the following levels: Physical - you will be responsible for the physical and technical oriented aspects eg, storage, security, networking and more; Application - you will handle all application-related issues (eg, queries, users, Embedded SQL's etc.) You will ensure database resources are sized properly and a design strategy is developed to make sure that the database is maintained at a healthy size. You will ensure availability and performance of multi database and application environments with very large volumes and sizes. Responsible to manage Oracle Cloud OCI platform and maintain the ongoing integrations and configurations to keep the Cloud platform in a healthy condition. You will manage or perform routine DBA tasks like database maintenance, backups, recovery, table space management, upgrades, etc. You will execute periodic health checks for databases and recommend changes that should be executed in the production environment to ensure optimal performance. You will interact and work with multiple infrastructure, Security and IT teams as part of environment setup, maintenance and support. This is an important function of this role. Plans and responds to service outages including backup and restore. Monitors system performance diagnosing software and hardware failures to resolution Provides patch management and distribution capabilities to prevent new threats with minimized physical infrastructure impacts. Creates and tests data backups. Provides data cleansing services, verifies data integrity, and implements access controls. Performs database configuration, monitoring, and tuning. Routine maintenance including problem defect analysis and resolution, space, storage, object management, physical database layout, rollback segment management, and temporary space management. Supports logs and alerts, access rights and roles, database instance version control. New IDs, roles, authorizations, audits, locked/unlocked status, revocation. Performs memory usage monitoring, database parameter configuration, database resources, I/O distribution. Ensures system health, maintenance, technical security, recovery, and basic application technical tuning. Maintains Oracle Quarterly Releases and patch management schedules. Supports Systems Development, Migration, and Integration efforts as needed. Significant contributor to work plans for security analysis and recommendations Qualifications: Bachelor's Degree Computer Science or similar required 10+ years Oracle EBS (11i/R12) Minimum five (5) years in ERP Cloud platform 20+ years of experience as Oracle ERP APPS DBA Must have executed a minimum of two Upgrade cycles in the past. Will be responsible for Cutover Downtime reduction thru process improvements in each Upgrade iteration, Must have experience in EBS Application architecture, Concurrent managers, Workflow, layout of application on infrastructure, etc. Must have excellent knowledge in cloning, patching, backup recovery of ERP application including knowledge of ODI, FAW/ADW, Performance tuning, SQL profiling Must have hands on experience of RMAN, Backup Management and different Recovery techniques. Design and Implement disaster recovery plans. Support Oracle Cloud and EBS developers for custom coding, code migration, workflow and concurrent requests Knowledge of system administration functionality within Oracle Cloud ERP, Unix Shell Scripting skills on Oracle ODA's and OVM's Ability to manage and supervise DBA staff in the team. Responsible for providing day-to-day status and maintenance for Oracle EBS and ERP Cloud. Work with multiple application teams and developers.
Job Title: Oracle Data Conversion Lead - HCM & Payroll Job Summary: We are working with the world's largest IT Services firm who are looking for an Oracle Data Conversion Lead to drive data migration and conversion activities for Oracle Fusion Projects. Utilise your expertise in converting master and transactional data for Business Objects in Oracle Cloud Applications, focusing on HCM and Payroll. Collaborate with stakeholders, ensure data quality, and lead ETL activities to support successful Oracle Fusion implementations. Key Responsibilities: Define data migration requirements and strategies. Design and execute data conversion processes from Legacy systems to Oracle Fusion. Develop data mapping documents, cleansing procedures, and conversion scripts. Lead ETL activities using Oracle Fusion Data Loader or similar tools. Ensure data accuracy and integrity throughout the migration process. Create and execute test plans for data validation and reconciliation. Troubleshoot and resolve migration issues. Document processes, procedures, and best practices. Required Skills and Experience: Extensive experience in data conversion and migration, preferably with Oracle Fusion projects. Proficiency in data migration concepts, methodologies, and best practices. Experience with Oracle Fusion Data Loader or similar tools. Knowledge of Oracle Fusion Data Conversion processes. Expertise in converting data for HCM and Payroll in Oracle Cloud Applications. Familiarity with FBDI, ADFdi, REST API, VBAFE. Strong analytical, problem-solving, and communication skills. Ability to collaborate with cross-functional teams and manage deadlines effectively. Salary: £75,000 - £100,000 + Bonus + Benefits Job Type: Permanent Location: Belfast
30/05/2024
Full time
Job Title: Oracle Data Conversion Lead - HCM & Payroll Job Summary: We are working with the world's largest IT Services firm who are looking for an Oracle Data Conversion Lead to drive data migration and conversion activities for Oracle Fusion Projects. Utilise your expertise in converting master and transactional data for Business Objects in Oracle Cloud Applications, focusing on HCM and Payroll. Collaborate with stakeholders, ensure data quality, and lead ETL activities to support successful Oracle Fusion implementations. Key Responsibilities: Define data migration requirements and strategies. Design and execute data conversion processes from Legacy systems to Oracle Fusion. Develop data mapping documents, cleansing procedures, and conversion scripts. Lead ETL activities using Oracle Fusion Data Loader or similar tools. Ensure data accuracy and integrity throughout the migration process. Create and execute test plans for data validation and reconciliation. Troubleshoot and resolve migration issues. Document processes, procedures, and best practices. Required Skills and Experience: Extensive experience in data conversion and migration, preferably with Oracle Fusion projects. Proficiency in data migration concepts, methodologies, and best practices. Experience with Oracle Fusion Data Loader or similar tools. Knowledge of Oracle Fusion Data Conversion processes. Expertise in converting data for HCM and Payroll in Oracle Cloud Applications. Familiarity with FBDI, ADFdi, REST API, VBAFE. Strong analytical, problem-solving, and communication skills. Ability to collaborate with cross-functional teams and manage deadlines effectively. Salary: £75,000 - £100,000 + Bonus + Benefits Job Type: Permanent Location: Belfast
Data Architect Manchester/Hybrid circa £100k + bonus and benefits Datamodelling Data Architect with significant Datamodelling experience is required by vibrant London Market Insurer. They are a market leading organisation currently undergoing a major growth programme within their data function. This role will be Embedded in a team of cross functional Solution Architects, you will lead the data definitions as well as support the design and engineering of highly appropriate, tightly integrated, flexible and fault-tolerant data repositories and systems with the lens of a consistent end to end data architecture and high data quality. You will moreover support data governance in the design of the required governance, management, and operational processes around data quality for the overall data strategy implementation of an integrated and regulatory compliant data ecosystem. This would suit somebody that has strong experience in Business Intelligence, Analytics and Data Operations. Key Responsibilities: Lead the implementation and digitalization agenda in a cross-functional team of architects from business and technology Create the design pillars for Data Governance, Metadata Management, MDM, Data Quality, Data Warehousing, Sourcing and Staging of data, BI, Advanced Analytics and R&D in close alignment with business functions and enterprise Information management Manage the Information Management framework, architecture, processes, and solutions Be responsible for strategic roadmaps that describe the journey to target state for all Data & Analytics domains Responsible for implementation of the data quality strategy Review third parties' high-level designs and implementations to ensure quality, coherence and consistency Deliver standards and patterns, controls on how they deploy services in a standard and repeatable way Key Requirements: Significant experience in Datamodelling and the implementation of comprehensive data systems and data architectures Insurance experience ideal, not essential Understanding and knowledge of system development life cycle methodologies (such as agile software development, rapid prototyping, incremental, synchronize and stabilize, and DevOps) Ability to estimate the financial impact of technology alternatives in terms of benefit and cost Excellent collaboration and communications skills to deal with senior leaders, stakeholders and executives and to build and nurture business relationships Flexibility and bringing a curious and creative mindset, open to new things and able to propose innovative ideas If you are looking to join a successful, growth organisation with technology and employee wellbeing at its core, please do get in touch. For a full consultation on this role please contact Arc IT or email your CV to Arc IT Recruitment. *All salaries are subject to experience*
30/05/2024
Full time
Data Architect Manchester/Hybrid circa £100k + bonus and benefits Datamodelling Data Architect with significant Datamodelling experience is required by vibrant London Market Insurer. They are a market leading organisation currently undergoing a major growth programme within their data function. This role will be Embedded in a team of cross functional Solution Architects, you will lead the data definitions as well as support the design and engineering of highly appropriate, tightly integrated, flexible and fault-tolerant data repositories and systems with the lens of a consistent end to end data architecture and high data quality. You will moreover support data governance in the design of the required governance, management, and operational processes around data quality for the overall data strategy implementation of an integrated and regulatory compliant data ecosystem. This would suit somebody that has strong experience in Business Intelligence, Analytics and Data Operations. Key Responsibilities: Lead the implementation and digitalization agenda in a cross-functional team of architects from business and technology Create the design pillars for Data Governance, Metadata Management, MDM, Data Quality, Data Warehousing, Sourcing and Staging of data, BI, Advanced Analytics and R&D in close alignment with business functions and enterprise Information management Manage the Information Management framework, architecture, processes, and solutions Be responsible for strategic roadmaps that describe the journey to target state for all Data & Analytics domains Responsible for implementation of the data quality strategy Review third parties' high-level designs and implementations to ensure quality, coherence and consistency Deliver standards and patterns, controls on how they deploy services in a standard and repeatable way Key Requirements: Significant experience in Datamodelling and the implementation of comprehensive data systems and data architectures Insurance experience ideal, not essential Understanding and knowledge of system development life cycle methodologies (such as agile software development, rapid prototyping, incremental, synchronize and stabilize, and DevOps) Ability to estimate the financial impact of technology alternatives in terms of benefit and cost Excellent collaboration and communications skills to deal with senior leaders, stakeholders and executives and to build and nurture business relationships Flexibility and bringing a curious and creative mindset, open to new things and able to propose innovative ideas If you are looking to join a successful, growth organisation with technology and employee wellbeing at its core, please do get in touch. For a full consultation on this role please contact Arc IT or email your CV to Arc IT Recruitment. *All salaries are subject to experience*
Harvey Nash Plc
Newcastle Upon Tyne, Tyne And Wear
Are you an experienced Technical Support Team Lead with a passion for customer service? Our client is a rapidly growing healthcare organisation committed to improving the patient journey through innovative technology solutions. Their vision is to revolutionise healthcare delivery by leveraging cutting-edge IT Technology and processes. As 1st Line Support Team Lead, you will play a pivotal role in ensuring exceptional customer service and efficient problem resolution. You'll lead and manage a team of talented 1st Line IT engineers and resolve technical issues related to the internally developed software. Responsibilities Leadership: Lead, mentor and coach a team of 1st Line engineers and foster a collaborative team environment. Technical Guidance: Utilise your strong technical skills to support the team in troubleshooting technical issues. Customer Service Excellence: Ensure excellent customer service by addressing inquiries promptly, resolving issues effectively and maintaining positive relationships with clients. Problem Resolution: Act as the escalation point for complex technical problems, ensuring timely resolution and minimising impact on end-users. Communication: You must have the abaility to communticate effectively, provide feedback and collaborate with cross-functional teams. Essential Requirements You must have: - Previous experience working with SLA's and KPI's - Previous experience managing a team - Strong Communication and Problem Solving Skills - Strong technical knowledge and be able to provide fixes to Winows OS, databases, Hardware and Networks. - Previous experience working with ticketing systems and customer support tools Exciting Growth : Be part of an organisation that's expanding rapidly and making a real impact in healthcare. Collaborative Environment : Join a supportive team that values innovation and teamwork. The role requires the successful candidate to work in Newcastle Upon-Tyne on a regular basis. If you're passionate about healthcare and Technical Support we'd love to hear from you!
30/05/2024
Full time
Are you an experienced Technical Support Team Lead with a passion for customer service? Our client is a rapidly growing healthcare organisation committed to improving the patient journey through innovative technology solutions. Their vision is to revolutionise healthcare delivery by leveraging cutting-edge IT Technology and processes. As 1st Line Support Team Lead, you will play a pivotal role in ensuring exceptional customer service and efficient problem resolution. You'll lead and manage a team of talented 1st Line IT engineers and resolve technical issues related to the internally developed software. Responsibilities Leadership: Lead, mentor and coach a team of 1st Line engineers and foster a collaborative team environment. Technical Guidance: Utilise your strong technical skills to support the team in troubleshooting technical issues. Customer Service Excellence: Ensure excellent customer service by addressing inquiries promptly, resolving issues effectively and maintaining positive relationships with clients. Problem Resolution: Act as the escalation point for complex technical problems, ensuring timely resolution and minimising impact on end-users. Communication: You must have the abaility to communticate effectively, provide feedback and collaborate with cross-functional teams. Essential Requirements You must have: - Previous experience working with SLA's and KPI's - Previous experience managing a team - Strong Communication and Problem Solving Skills - Strong technical knowledge and be able to provide fixes to Winows OS, databases, Hardware and Networks. - Previous experience working with ticketing systems and customer support tools Exciting Growth : Be part of an organisation that's expanding rapidly and making a real impact in healthcare. Collaborative Environment : Join a supportive team that values innovation and teamwork. The role requires the successful candidate to work in Newcastle Upon-Tyne on a regular basis. If you're passionate about healthcare and Technical Support we'd love to hear from you!
Profile: Functioning within the Operations Directorate in the UK and Europe, this role directs the design and development of processes, instruments and equipment from the laboratory through Manufacturing processes. Furthermore, this role will be responsible for identification, deployment and governance of clinical information technologies needed to support product development processes as well as directing and/or supporting technology initiatives and strategic vendor interactions. Manage equipment acquisition/validation, process development/validation and activities associated with R&D plant. This role ensures that technology solutions meet the business requirements and fit within the overall systems architecture landscape. This role will work closely with business leaders, end user community, UK partners, vendors and service providers to ensure delivery of technology solutions that support the business strategy and operations. While this role does not have direct reports, it does have responsibility for leading cross-functional project teams and overseeing contractors. Main Duties: IT Logistics Development Duties: 1. Analyse, document, and optimize business processes and ensure fit with the existing and/or proposed solutions 2. Identify solutions that meet the requirements from the business 3. Collaborate with our client's functional leads in understanding available solutions already deployed that can be leveraged to meet a business need 4. Lead creation of business case for governance review 5. Develop appropriate project plans including timeline, resource plan, riskplan, stakeholder plan, communications plan, financial plans and business case 6. Ensure stakeholder alignment for these plans 7. Define and create project teams, including vendors and contingent workers as needed 8. Manage plan, holding appropriate stakeholders accountable for the irrespective deliverables 9. Sign off on functional solution by validating use cases, conceptual data design, screen design, supplementary requirements etc. 10. Partner with Compliance and Validation resources as needed to drive change control and system validation activities 11. Ensure delivery of projects acting as single point of contact 12. Manage the plan to deliver on-time, on-scope, and on-budget 13. Maintain stakeholder alignment throughout the project 14. Facilitate appropriate forums to manage project dependencies and integrations 15. Rapidly address issues and facilitates to successful resolution 16. Effectively communicate project status via defined process and tools 17. Effectively transition project into steady state working with the IS Operations Lead 18. Build and maintain good working relationships with the business leads and the user base Engineering Logistics Setup 1. Oversee schedules, supplies, materials, equipment and manpower requirements in the pilot plant, and recommend programs to maximize project success, improve productivity, quality and efficiency of the R&D plant operations. 2. Provide technical leadership in the areas of process development, process validation and equipment validation with a focus on solid oral dosage forms 3. Provide functional leadership for all technology transfer related projects to assure timely scale-up and launch of new products. 4. Set up and maintain tracking system for each product defining critical process parameters 5. Responsible for writing technical summaries and process development/validation reports, author/review/approve compliant documentations (SOPs, manufacturing batch records and validation protocols) 6. Prepares, reviews and approve sections of Technical submissions when required 7. Develops and implements equipment installation/operation/performance qualifications activities in the pilot plant 8. Ensures budgets and schedules meet corporate requirements 9. Assesses utilization resources and identifies when, and where additional resources may be needed 10. Ensure staff members are appropriately trained and training records are maintained at current required levels
30/05/2024
Project-based
Profile: Functioning within the Operations Directorate in the UK and Europe, this role directs the design and development of processes, instruments and equipment from the laboratory through Manufacturing processes. Furthermore, this role will be responsible for identification, deployment and governance of clinical information technologies needed to support product development processes as well as directing and/or supporting technology initiatives and strategic vendor interactions. Manage equipment acquisition/validation, process development/validation and activities associated with R&D plant. This role ensures that technology solutions meet the business requirements and fit within the overall systems architecture landscape. This role will work closely with business leaders, end user community, UK partners, vendors and service providers to ensure delivery of technology solutions that support the business strategy and operations. While this role does not have direct reports, it does have responsibility for leading cross-functional project teams and overseeing contractors. Main Duties: IT Logistics Development Duties: 1. Analyse, document, and optimize business processes and ensure fit with the existing and/or proposed solutions 2. Identify solutions that meet the requirements from the business 3. Collaborate with our client's functional leads in understanding available solutions already deployed that can be leveraged to meet a business need 4. Lead creation of business case for governance review 5. Develop appropriate project plans including timeline, resource plan, riskplan, stakeholder plan, communications plan, financial plans and business case 6. Ensure stakeholder alignment for these plans 7. Define and create project teams, including vendors and contingent workers as needed 8. Manage plan, holding appropriate stakeholders accountable for the irrespective deliverables 9. Sign off on functional solution by validating use cases, conceptual data design, screen design, supplementary requirements etc. 10. Partner with Compliance and Validation resources as needed to drive change control and system validation activities 11. Ensure delivery of projects acting as single point of contact 12. Manage the plan to deliver on-time, on-scope, and on-budget 13. Maintain stakeholder alignment throughout the project 14. Facilitate appropriate forums to manage project dependencies and integrations 15. Rapidly address issues and facilitates to successful resolution 16. Effectively communicate project status via defined process and tools 17. Effectively transition project into steady state working with the IS Operations Lead 18. Build and maintain good working relationships with the business leads and the user base Engineering Logistics Setup 1. Oversee schedules, supplies, materials, equipment and manpower requirements in the pilot plant, and recommend programs to maximize project success, improve productivity, quality and efficiency of the R&D plant operations. 2. Provide technical leadership in the areas of process development, process validation and equipment validation with a focus on solid oral dosage forms 3. Provide functional leadership for all technology transfer related projects to assure timely scale-up and launch of new products. 4. Set up and maintain tracking system for each product defining critical process parameters 5. Responsible for writing technical summaries and process development/validation reports, author/review/approve compliant documentations (SOPs, manufacturing batch records and validation protocols) 6. Prepares, reviews and approve sections of Technical submissions when required 7. Develops and implements equipment installation/operation/performance qualifications activities in the pilot plant 8. Ensures budgets and schedules meet corporate requirements 9. Assesses utilization resources and identifies when, and where additional resources may be needed 10. Ensure staff members are appropriately trained and training records are maintained at current required levels