Technical Product Analyst

Capgemini • New York, NY

1d

About The Position

We are seeking a Technical Product Analyst who is owning the vision and roadmap for an AI-Driven Model Ecosystem. This individual is operating at the intersection of AI product strategy and Model Risk Management (MRM) while driving end-to-end design requirements and delivery of AI-enabled 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 patterns. The ideal candidate is bringing strong analytical skills, hand-on experience with SQL/Python, deep understanding of MRM practices, and the ability to break down ambiguous problems into structured, actionable product work. The individual is collaborating closely with cross-functional 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.

Requirements

• Strong experience working as a Technical Product Analyst, Product Owner, or Techno-Functional 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 cross-functional 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
• Must-have: Proven experience using AI coding agents such as GitHub Copilot, AMP, and Claude Code to accelerate analysis, documentation, and delivery

Nice To Haves

• 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

Responsibilities

• Owning product vision, roadmap, and feature evolution for an AI-Driven 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 cross-functionally 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 AI-enabled 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

Benefits

• 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
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed