What are the responsibilities and job description for the Technical Product Analyst position at Capgemini?
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Job Description
We are seeking a Technical Product Analyst who is owning the vision and roadmap for an AIDriven Model Ecosystem This individual is operating at the intersection of AI product strategy and Model Risk Management MRM while driving endtoend design requirements and delivery of AIenabled model governance capabilities The role is focusing on translating business goals into technical requirements shaping intelligent workflows and enabling model lifecycle processes powered by modern AI automation and data engineering patternsThe ideal candidate is bringing strong analytical skills handson experience with SQLPython deep understanding of MRM practices and the ability to break down ambiguous problems into structured actionable product work The individual is collaborating closely with crossfunctional groups including data scientists model validators MRM governance teams engineers and AI teams to deliver scalable and compliant solutions Use of AI coding agents such as GitHub Copilot AMP and Claude Code is a mandatory requirement
Key Responsibilities
Owning product vision roadmap and feature evolution for an AIDriven Model Ecosystem
Analyzing data using SQL and Python to support feature design validation logic and model lifecycle workflows
Understanding and interpreting complex model governance validation and regulatory requirements and translating them into system capabilities
Breaking down ambiguous product problems into structured analysis hypotheses and solution options
Translating business and user goals into detailed product requirements functional specifications and user stories
Designing workflows and user journeys supporting model development validation approval monitoring and retirement
Partnering with engineering teams to define data models APIs integrations and architecture needs for model governance platforms
Collaborating crossfunctionally with model risk teams data science teams technology partners and operations groups
Supporting UAT planning test case development execution and defect resolution to ensure successful product releases
Ensuring alignment of AIenabled components with model risk controls interpretability standards and governance frameworks
Leveraging AI coding agents Copilot AMP Claude Code to enhance analysis documentation workflow design and solution development
Staying current with industry advancements in AI model governance tooling workflow automation and risk oversight
Required Skills Qualifications
Strong experience working as a Technical Product Analyst Product Owner or TechnoFunctional BA in AI analytics or model risk domains
Proven ability to analyze data using SQL and Python
Experience working with APIs data models and system architecture fundamentals
Demonstrated ability to take ambiguous product challenges and break them into structured analytical problem statements
Strong capability in translating business needs into product requirements user stories and acceptance criteria
Excellent crossfunctional collaboration skills working closely with engineering risk and data science teams
Strong understanding of Model Risk Management MRM model lifecycle validation monitoring and regulatory expectations
Excellent communication skills with the ability to articulate complex concepts clearly
Musthave Proven experience using AI coding agents such as GitHub Copilot AMP and Claude Code to accelerate analysis documentation and delivery
Preferred Qualifications
Experience with workflow orchestration tools or AI orchestration frameworks LangChain Semantic Kernel etc
Knowledge of enterprise data integration metadata management or model monitoring solutions
Exposure to cloud environments Azure preferred
Financial services audit risk or regulatory domain experience"
The base compensation range for this role in the posted location is: 140,000 - 150,000
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Job Description
We are seeking a Technical Product Analyst who is owning the vision and roadmap for an AIDriven Model Ecosystem This individual is operating at the intersection of AI product strategy and Model Risk Management MRM while driving endtoend design requirements and delivery of AIenabled model governance capabilities The role is focusing on translating business goals into technical requirements shaping intelligent workflows and enabling model lifecycle processes powered by modern AI automation and data engineering patternsThe ideal candidate is bringing strong analytical skills handson experience with SQLPython deep understanding of MRM practices and the ability to break down ambiguous problems into structured actionable product work The individual is collaborating closely with crossfunctional groups including data scientists model validators MRM governance teams engineers and AI teams to deliver scalable and compliant solutions Use of AI coding agents such as GitHub Copilot AMP and Claude Code is a mandatory requirement
Key Responsibilities
Owning product vision roadmap and feature evolution for an AIDriven Model Ecosystem
Analyzing data using SQL and Python to support feature design validation logic and model lifecycle workflows
Understanding and interpreting complex model governance validation and regulatory requirements and translating them into system capabilities
Breaking down ambiguous product problems into structured analysis hypotheses and solution options
Translating business and user goals into detailed product requirements functional specifications and user stories
Designing workflows and user journeys supporting model development validation approval monitoring and retirement
Partnering with engineering teams to define data models APIs integrations and architecture needs for model governance platforms
Collaborating crossfunctionally with model risk teams data science teams technology partners and operations groups
Supporting UAT planning test case development execution and defect resolution to ensure successful product releases
Ensuring alignment of AIenabled components with model risk controls interpretability standards and governance frameworks
Leveraging AI coding agents Copilot AMP Claude Code to enhance analysis documentation workflow design and solution development
Staying current with industry advancements in AI model governance tooling workflow automation and risk oversight
Required Skills Qualifications
Strong experience working as a Technical Product Analyst Product Owner or TechnoFunctional BA in AI analytics or model risk domains
Proven ability to analyze data using SQL and Python
Experience working with APIs data models and system architecture fundamentals
Demonstrated ability to take ambiguous product challenges and break them into structured analytical problem statements
Strong capability in translating business needs into product requirements user stories and acceptance criteria
Excellent crossfunctional collaboration skills working closely with engineering risk and data science teams
Strong understanding of Model Risk Management MRM model lifecycle validation monitoring and regulatory expectations
Excellent communication skills with the ability to articulate complex concepts clearly
Musthave Proven experience using AI coding agents such as GitHub Copilot AMP and Claude Code to accelerate analysis documentation and delivery
Preferred Qualifications
Experience with workflow orchestration tools or AI orchestration frameworks LangChain Semantic Kernel etc
Knowledge of enterprise data integration metadata management or model monitoring solutions
Exposure to cloud environments Azure preferred
Financial services audit risk or regulatory domain experience"
The base compensation range for this role in the posted location is: 140,000 - 150,000
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.