Technical Product Analyst - AI Model Ecosystem
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Job Location : New York, NY (Onsite/Hybrid)
Job Description
We are seeking a Technical Business Analyst to lead the vision and roadmap for an AI‑Driven Model Ecosystem. This role operates at the intersection of AI product strategy and Model Risk Management (MRM), driving end‑to‑end design, requirements, and delivery of AI‑enabled model governance capabilities. The ideal candidate excels at translating complex business needs into technical specifications, designing intelligent workflows, and enabling model lifecycle processes through modern AI, automation, and data engineering practices.
Experience with AI coding agents (GitHub Copilot, AMP, Claude Code) is mandatory.
Required Skills Qualifications
- Experience as a Technical Product Analyst, Product Owner, or Techno‑Functional Business Analyst in AI, analytics, or model risk domains.
- Strong proficiency in SQL and Python.
- Experience working with APIs, data models, and system architecture fundamentals.
- Proven ability to turn ambiguous challenges into structured analytical problem statements.
- Strong capability in writing product requirements, user stories, and acceptance criteria.
- Excellent collaboration skills with engineering, risk, and data science teams.
- Deep understanding of Model Risk Management (MRM), model lifecycle, validation, monitoring, and regulatory expectations.
- Outstanding communication skills and ability to simplify complex concepts.
- Mandatory: Hands‑on experience using AI coding agents such as GitHub Copilot, AMP, and Claude Code.
Key Responsibilities
- Own the product vision, roadmap, and feature evolution for an AI‑driven model ecosystem.
- Analyze data using SQL and Python to support feature design, validation logic, and lifecycle workflows.
- Interpret complex model governance, validation, and regulatory requirements and translate them into system capabilities.
- Break down ambiguous problems into structured analysis, hypotheses, and actionable product work.
- Translate business and user needs into detailed product requirements, functional specs, and user stories.
- Design workflows and user journeys supporting model development, validation, approval, monitoring, and retirement.
- Partner with engineering teams to define data models, APIs, integrations, and architecture for model governance platforms.
- Collaborate with cross‑functional groups including MRM, data science, engineers, and operations.
- Support UAT planning, test case design, execution, and defect resolution.
- Ensure all AI‑enabled components align with model risk controls, interpretability standards, and governance frameworks.
- Use AI coding agents (Copilot, AMP, Claude Code) to enhance analysis, documentation, workflow design, and solution delivery.
- Stay current with innovations in AI model governance, workflow automation, and risk oversight.
Good to Have
- Experience with model inventory or model governance platforms.
- Familiarity with AI workflows, RAG architectures, vector databases, and LLM‑driven automation.
- Understanding of AI governance, model explainability, and interpretability frameworks.
- Experience with workflow orchestration or AI orchestration tools (e.g., LangChain, Semantic Kernel).
The base compensation range for this role in the posted location is: 87392-102786
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
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
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.
New York, NY, US
Nearest Major Market: Manhattan
Nearest Secondary Market: New York City