Senior Product Associate - Data Governance

Unleash your expertise in product development and optimization by leveraging user research, analyzing metrics, and collaborating across one of the world’s most innovative financial organizations. You will help drive customer value by contributing to product vision, discovery, and successful launches. You will support scalable, resilient, and stable product outcomes by partnering with business, technology, and control stakeholders. You will communicate clearly using precise terminology and relatable examples to align cross-functional teams. You will continuously incorporate feedback and data to improve product experiences and outcomes.

As a Senior Product Associate in Chief Data & Analytics Office (CDAO), Data Governance team, you contribute to the team by leveraging your expertise in product development and optimization to make a significant impact, supported by user research and customer feedback to fuel the creation of innovative products and continuously improve existing offerings. Collaborate closely with cross-functional teams and play a crucial role in shaping the future of our products and ongoing success. You will support end-to-end product life cycle execution, acting as a key partner in discovery, backlog refinement, delivery, and launch readiness. You will help accelerate JPMorganChase’s data and analytics journey by delivering data governance capabilities, including next-generation tooling and AI-for-data solutions that improve data quality, integrity, and responsible use. You will help ensure solutions meet stakeholder needs while balancing timeliness, quality, and operational excellence.

The Chief Data & Analytics Office (CDAO) is responsible for ensuring the quality, integrity, and security of the firm’s data and for leveraging that data to generate insights and drive decision-making. Within Data Governance, you will collaborate with business, technology, and control partners to define roadmaps and support deployment of solutions into production. This role is well-suited for someone with strong curiosity and a passion for data, data governance, and AI-for-data innovation. You will help establish feedback loops and iteration plans to incorporate user insights and continuously improve product outcomes. You will contribute in a highly collaborative, regulated environment where risk, compliance, and reliability expectations are central to how products are delivered.

Job responsibilities

• Partners with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery.

• Considers and plans for upstream and downstream implications of new product features on the overall product experience.

• Supports the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and provide insight on potential product features that provide value to customers.

• Analyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle.

• Writes the requirements, epics, and user stories to support product development.

• Supports discovery efforts and market research to uncover customer problems and translate them into roadmap-ready solutions.

• Helps own, maintain, and refine the product backlog, ensuring prioritization aligns to strategic goals and stakeholder outcomes.

• Partners with engineers and subject matter experts to understand use cases, dependencies, and constraints, and to critically assess proposed solutions.

• Contributes to defining and tracking success metrics (e.g., cost, feature/functionality, risk posture, reliability) and uses insights to drive iteration.

• Coordinates with control functions to help ensure product deliverables meet policy, risk, and compliance expectations for regulated environments.

• Establishes feedback loops and iteration plans to incorporate user insights and continuously improve product outcomes.

Required qualifications, capabilities, and skills

• 3+ years of experience or equivalent expertise in product management or a relevant domain area

• Proficient knowledge of the product development life cycle

• Experience in product life cycle activities including discovery and requirements definition

• Developing knowledge of data analytics and data literacy

• Experience supporting product strategy, roadmap development, and value management through metrics and stakeholder input.

• Ability to translate ambiguous problem statements into clear requirements, epics, and user stories in partnership with engineers and SMEs.

• Strong written and verbal communication skills, able to explain technical concepts to both technical and non-technical audiences.

• Experience working in highly collaborative environments with business, technology, and control partners to deliver production outcomes.

• Ability to manage multiple priorities and deliver high-quality work under tight deadlines.

• Analytical mindset with attention to detail, comfortable using data to drive decisions and measure outcomes.

• Exposure to data governance and/or responsible data practices, including quality, integrity, lineage, catalog/metadata, stewardship, controls, and/or policy enablement.

Preferred qualifications, capabilities, and skills

• Demonstrated prior experience working in a highly matrixed, complex organization

• Experience with data governance domains (e.g., data quality, metadata/catalog, lineage, controls, stewardship, and/or policy enablement)

• Experience delivering enterprise platforms or tooling used by diverse stakeholder groups across functions

• Experience working in financial services or another highly regulated industry, partnering with risk/compliance stakeholders

• Familiarity with AI/ML product delivery patterns, including responsible AI considerations and model risk/controls expectations

• Experience operating products at scale with a focus on resiliency, stability, and operational excellence

• Track record of influencing stakeholders and driving alignment across cross-functional teams