Product Manager, Global Private Banking (gpb) Chief Data Office (cdo)

JPMorgan Chase JPMorgan Chase · Banking · Jersey City, NJ +1 · Asset & Wealth Management

Product Manager for Global Private Banking (GPB) Chief Data Office (CDO) at JPMorgan Chase. Responsible for defining product strategy, vision, and roadmap for data catalog, lineage, and data marketplace experiences. This role involves translating customer needs into actionable requirements, partnering with engineering teams, and ensuring successful product launches within a regulated financial services environment. Familiarity with AI applications for metadata enrichment is mentioned, but AI is not the core craft of the role.

What you'd actually do

  1. Develop 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. Define and maintain Global Private Banking (GPB) requirements for centralized metadata, including cataloging, business glossary, technical metadata, data domains, and semantic alignment.

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.
  • Proven experience defining and socializing requirements with engineering, design, and business teams, and validating delivered solutions against changing needs.
  • 5+ years of experience in implementing metadata, lineage, marketplace or other data platform capabilities.
  • Strong knowledge of metadata management, including data cataloguing, business glossary, technical metadata, data domains, semantic alignment, and lineage concepts.
  • Strong understanding of data marketplace and discovery concepts, including trust signals and user- or system-driven access request journeys.
  • Familiarity with AI applications for metadata enrichment, classification, and discovery, with the ability to shape requirements in controlled environments.
  • Experience embedding governance, risk, and control requirements into capability designs and validation approaches.
  • Financial services and/or banking industry experience is required, with an understanding of data management, governance, and compliance in a regulated enterprise environment.

Nice to have

  • Demonstrated prior experience working in a highly matrixed, complex organization.
  • Experience working with enterprise data catalog and lineage platforms and driving adoption of metadata standards across data domains.
  • Experience with metadata harvesting and integration approaches across heterogeneous data and technology environments.
  • Experience defining or validating end-to-end discovery-to-access journeys that improve time-to-find and time-to-access for data consumers.
  • Experience specifying requirements for lifecycle reporting sourced from enterprise workflow and knowledge base systems.
  • Experience with AI-driven discovery, enrichment, or automation in compliance- and audit-driven environments.
  • Familiarity with operating models that support scalable enablement and adoption for data producers and consumers.
  • Experience establishing measurement approaches for adoption and outcomes across metadata, lineage, and marketplace experiences.

What the JD emphasized

  • Financial services and/or banking industry experience is required
  • understanding of data management, governance, and compliance in a regulated enterprise environment