Product Director - Data Governance, Chief Data & Analytics Office

Product Director - Data Governance, Chief Data & Analytics Office

Shape how teams across the enterprise discover, trust, and use data—safely and at scale. Join a high-impact product leadership role where you will set strategy, influence senior stakeholders, and deliver measurable adoption across critical governance capabilities. Grow your career by partnering with business, engineering, and risk stakeholders while building modern, AI-enabled data products.

As a Product Director at JPMorgan Chase within the Chief Data and Analytics Office Data Governance team, you will define and deliver the product strategy and roadmap for data governance and artificial intelligence enabled data initiatives. You will partner with business leaders, technologists, and control partners to translate stakeholder needs into a prioritized roadmap and well-governed delivery outcomes. You will lead end-to-end product execution from discovery and requirements through production rollout and adoption, with clear measures of impact. You will apply strong technical depth in data modeling to guide design trade-offs and enable scalable, self-service data governance capabilities. You will foster a culture of continuous improvement and pragmatic innovation across cross-functional teams.
In this role, you will build products that help users find, understand, and rely on data for analytics and artificial intelligence use cases while meeting privacy, protection, and auditability expectations. You will balance speed and innovation with disciplined governance, ensuring solutions are usable, interoperable, and consistently implemented across teams. Success requires influencing across diverse stakeholder groups, driving adoption through clear value propositions, and making investment decisions grounded in outcomes and controls. This role is suited for a product leader who can operate in ambiguity, set clear direction, and deliver at enterprise scale.

Job Responsibilities
•    Define the product strategy and multi-year roadmap for enterprise data governance products and artificial intelligence enabled data management capabilities aligned to business outcomes and control expectations.
•    Lead end-to-end product delivery from discovery and requirements through production rollout, change management, and measurable adoption.
•    Design data management capabilities that enable teams to find, understand, trust, and use data at scale for analytics and artificial intelligence use cases.
•    Deliver self-service governance features and application programming interfaces that promote interoperability, reusable patterns, and consistent data standards.
•    Drive implementation of governance capabilities including metadata management, data cataloging, data lineage, and data quality controls to strengthen trust and reduce operational risk.
•    Partner with risk, compliance, and control stakeholders to embed privacy, protection, auditability, and well-controlled delivery practices across the product lifecycle.
•    Coach product teams on product craft, including customer discovery, storyboarding, prototyping, adoption strategy, and delivery execution.
•    Own product performance through objectives and key results and key performance indicators, and make investment and prioritization decisions based on user outcomes and platform health.
•    Promote a culture of engineering and product excellence through continuous improvement, pragmatic problem solving, and transparent stakeholder communication.

Required Qualifications, Capabilities, and Skills
•    Extensive product management experience delivering enterprise platforms or products in a large, complex organization from strategy through adoption.
•    Demonstrated ability to define product strategy, build outcome-based roadmaps, and create prioritization and investment cases tied to measurable results.
•    Strong technical foundation in data modeling with the ability to engage credibly on design trade-offs with engineers, architects, and data practitioners.
•    Hands-on with modern artificial intelligence builder tooling (Claude/Copilot/Cursor/GPT/others), and workflows, including setting standards for verification, testing, documentation, and responsible use
•    Experience delivering data governance or data management capabilities (for example: metadata, catalog, lineage, and data quality controls) at scale.
•    Demonstrated experience delivering artificial intelligence enabled product capabilities in a governed environment, translating model capabilities into safe, reliable, controlled user workflows.
•    Proven stakeholder leadership skills, including aligning business, technology, and control partners and driving clear, consistent messaging through delivery. Strong execution rigor in ambiguous environments, including defining scope, managing dependencies, and delivering within real-world constraints.

Preferred Qualifications, Capabilities, and Skills
•    Experience building products in financial services or similarly regulated environments with privacy, protection, and regulatory expectations.
•    Advanced degree in a relevant field (for example: Computer Science, Business Administration) or equivalent experience.
•    Demonstrated success leading cross-functional teams across product, engineering, design, data, and control functions.

Experience Level

Executive Level