Senior Data Product & Governance Lead

JPMorgan Chase & Co.; Bournemouth; On-site; GBP 90,000 - 120,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Data Governance & Data Product Lead within 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 used by AI services, controls and reporting. You will partner with Technology, Data Science and Product Owners to ensure the governed data foundation is trusted, reusable and defensible, enabling consistent data across

Qualifications

• 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, KDEs, 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.

Responsibilities

• Own the definition of ORDG’s trusted data products — canonical schema, 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 JPMorganChase data standards, taxonomies and controls.

Skills

Data governance

Data product management

Regulated environment

Stakeholder collaboration

AI governance

Tools

Data catalog

Job description

JPMorgan Chase & Co. is seeking a Data Governance & Data Product Lead within 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 used by AI services, controls and reporting. You will partner with Technology, Data Science and Product Owners to ensure the governed data foundation is trusted, reusable and defensible, enabling consistent data across