AI Product Manager - Governance (Senior Associate)

About the role

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee

Additional Information

The Chief Data and Analytics Office (CDAO) is responsible for building enterprise-scale, cutting-edge platforms for AI/ML and data operations that are used firmwide across JPMorganChase. As an AI Product Manager (Senior Associate) within our governance organization, you will understand, formulate and execute well-designed, user-friendly product features that encompass AI & data governance frameworks, policies, and procedures. Your role is crucial in ensuring the ethical and compliant application of AI and data technologies across the entire firm. You will be instrumental in integrating AI/ML & Data Management technology into the company's structure, adhering to sustainable best practices in compliance with JPMC technology, operational risk, and relevant regulations. Collaborating with cross-functional teams such as Firmwide CDO, data scientists, engineers, design, legal, compliance, strategy and business units, you will work on AI & data governance initiatives and ensure they align with regulatory requirements and industry best practices. Job Responsibilities Design and implement product features that apply evolving AI & data governance frameworks, policies, and procedures to ensure the ethical and responsible use of AI technologies across the organization, ensuring compliance with regulations, standards, guidelines, and emerging regulations. Leverage AI-assisted rapid prototyping techniques to validate product requirements, accelerating stakeholder alignment and product discovery. Support the product roadmap and backlog; author PRDs and acceptance criteria; define and track KPIs/OKRs to measure adoption, control coverage, lifecycle compliance and streamlined governance. Translate AI and data risk into produce requirements and control points embedded into the development lifecycle including model onboarding, model lineage and modification tracking, and agentic systems, data and model risk governance. Collaborate with cross-functional stakeholders such as Firmwide CDO, data scientists, engineers, legal, compliance, design and business units to integrate AI & Data governance practices into the AI/ML & data development lifecycle Establish monitoring and reporting mechanisms to track compliance with AI & data governance policies and identify areas for improvement. Present product updates, risk management and governance findings, and recommendations to senior leaders and stakeholders, ensuring transparency and accountability. Required qualifications, capabilities and skills 3+ years of experience in product management, technology governance, risk management, or compliance within regulated industries such as financial services, with a focus on Artificial Intelligence Basic understanding of AI/ML (including GenAI) and data governance, Models, MLOps, Agents, MCP, A2A and technology governance/risk/compliance principles. Familiarity with using AI-assisted coding/prototyping tools (GitHub Copilot, Claude Code etc.) to product, iterate on prototypes, PRDs and technical concepts in close partnership with engineering and design. Proven experience in business analysis to identify critical requirements by understanding complex and interdependent processes. Strong critical thinking and problem-solving skills, with the ability to identify and mitigate risks effectively. Excellent presentation and communication skills, with the ability to convey complex information to senior leaders and stakeholders. Proven ability to collaborate effectively across cross-functional teams and build strong working relationships. Preferred qualifications, capabilities and skills Experience with public cloud platforms (e.g., AWS, GCP, Azure) is a plus. Demonstrated a track record of building end-to-end prototypes with AI assistance and translating them into engineering-ready acceptance criteria; strong experience with AI coding assistants. Computer Science undergrad/grad degree and ideally experience working as an engineer in Financial Services with a focus on building AI products. Certifications in AI governance, data governance, or related fields.

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