Data Governance Product Manager Vice President

JPMorgan Chase JPMorgan Chase · Banking · Columbus, OH +1 · Consumer & Community Banking

Product Manager VP at JPMorgan Chase focused on Data Governance to enable AI-readiness. The role involves improving metadata standards, governed access workflows, and operational efficiency. Responsibilities include product strategy, roadmap development, requirements definition, and collaboration with engineering and risk stakeholders to deliver scalable, compliant data governance solutions. Experience with data governance solutions for metadata, access, and AI readiness is required, along with proficiency in Agile methodologies and data analytics.

What you'd actually do

  1. Develops a product strategy and product vision that delivers value to customers
  2. Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
  3. Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition
  4. Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability
  5. Engage users and stakeholders to understand needs, pain points, and workflows; translate insights into seamless, user-centric experiences and measurable outcomes

Skills

Required

  • 5+ years of experience or equivalent expertise in product management or a relevant domain area
  • Advanced knowledge of the product development life cycle, design, and data analytics
  • Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
  • 5+ years in product management/product ownership (or equivalent) delivering technology products in an Agile environment, including end-to-end lifecycle work (discovery, definition, build, launch, and iteration)
  • Strong experience in designing and leading structured discovery and user research (interviews/workshops, process mapping, journey definition), converting findings into clear problem statements, epics/user stories, acceptance criteria, and release-ready documentation.
  • 5+ years of experience managing data governance solutions for scalable metadata governance and enrichment, simplified access and policy workflows, and AI readiness supporting various platforms (such as Snowflake, Databricks, and AWS)
  • Proficiency in problem and solution framing; data analysis and transformation; working knowledge of Teradata, Snowflake, AWS, and DataBricks databases; and proven ability to collaborate with engineering teams on solution design and delivery execution.
  • Ability to use quantitative and qualitative inputs to prioritize and measure success (e.g., SQL/Excel-based analysis, KPI/OKR definition, usage/adoption analytics, funnel or workflow cycle-time metrics)
  • Excellent written and verbal communication skills; ability to develop executive-ready narratives, facilitate working sessions,

What the JD emphasized

  • AI-ready
  • governed access workflows
  • metadata standards
  • operational efficiency
  • AI readiness