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Data Product & Governance Lead Vice President

Job in Christchurch, Dorset County, PE14, England, UK
Listing for: JPMorgan Chase & Co.
Full Time position
Listed on 2026-09-20
Job specializations:
  • IT/Tech
    Information & Knowledge Management, Data Analyst, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 90000 - 120000 GBP Yearly GBP 90000.00 120000.00 YEAR
Job Description & How to Apply Below

As the Data Governance & Data Product Lead in the Office of Regulation and Document Governance (ORDG), you will own the foundation layer of ORDG's Data, Analytics & AI capability - turning policy content into governed, machine-readable data products that AI services, controls and reporting all consume. Reporting to ORDG's Executive Data Owner, you will define and run the data-product operating model: standards, taxonomy, ownership, quality gates, certification, and lifecycle.

Partnering with Technology, Data Science, Product Owners and the wider RM&C community, you will ensure the governed data foundation is trusted, reusable and defensible - so that every downstream AI capability, dashboard and control across FPSP, DOGMA, LRCM and the RM&C Bulletin Tool operates on the same authoritative source of truth.,

  • Own the definition of ORDG's trusted data products - canonical schema, Key Data Elements (KDEs), taxonomy, lineage, ownership and certification - and evolve them in response to regulatory, business and platform change.
  • Run the ORDG data governance forum: prioritise change requests, chair review and sign-off of new or amended data products, and manage the lifecycle from design through retention or destruction.
  • Establish and enforce quality gates and controls across the data foundation - completeness, conformance, KDE integrity, lineage traceability, and normativity separation - partnering with the Data Quality & Controls function on measurement and remediation.
  • Partner with Technology to translate governance intent into implemented physical data models, contracts and consumption interfaces across the governed data-product estate.
  • Coordinate with Product Owners and the Data & AI Execution Lead to ensure new AI services and product capabilities consume governed data products - preventing local rebuilds, embedded copies and capability sprawl.
  • Act as the accountable authority for data-product releases; approve versioning, publication and change communications across ORDG and consuming platforms.
  • Support the Executive Data Owner in defining the roadmap, prioritisation and success metrics for the Define & Govern Data Products workstream, and represent it in cross-workstream planning.
  • Partner with RM&C, ODG and LRCM stakeholders to align on data definitions, standards and consumption patterns, and to resolve cross-domain governance issues.
  • Contribute to ORDG's external assurance and regulatory posture by ensuring the data foundation is auditable and defensible at any point in time.
  • Manage a Data Modeler / Data Analyst and partner closely with Data Product Domain SMEs and adjacent roles as the ORDG Data, Analytics & AI capability scales.
  • Represent ORDG in firmwide data governance forums, contributing to and drawing from broader JPMorgan

    Chase data standards, taxonomies and controls.
    Substantial experience leading data governance, data product management or data stewardship in a regulated financial-services environment.
  • Deep expertise in data-product design principles - canonical models, data contracts, Key Data Elements, taxonomy management, lineage and quality frameworks.
  • Demonstrated experience running a governance forum or steward community - setting standards, chairing decisions, managing lifecycle events and driving adoption across delivery teams.
  • Strong partnering track record with Technology, Data Science and Product functions; able to translate governance requirements into implementable technical outcomes.
  • Excellent written and verbal communication skills, including the ability to structure decisions and status for senior management, and to make governance choices legible to non-specialists.
  • Ability to hold quality and control discipline across multiple concurrent work streams while retaining pace…
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