VP, Data Governance & Product Leadership

Aumni; Bournemouth; On-site; GBP 90,000 - 130,000; Full time

Job summary

JPMorganChase is seeking a senior Data Governance & Data Product Lead to own the ORDG data products and their lifecycle, ensuring canonical schemas, KDEs and taxonomy are defined, governed, and consumable by AI services and reporting across the firm.

You will collaborate with Technology, Data Science and Product teams, lead the governance forum, and drive adoption of standards while maintaining pace across multiple workstreams.

Qualifications

• Extensive leadership in data governance, data product management or data stewardship in regulated financial services.
• Deep expertise in data-product design: canonical models, data contracts, KDEs, taxonomy, lineage and quality.
• Experience running governance forums or steward communities, setting standards and driving adoption.
• Strong collaboration with Technology, Data Science and Product to translate governance into technical outcomes.
• Excellent written and verbal communication, capable of briefing senior management.
• Ability to manage multiple concurrent workstreams while maintaining delivery pace.
• Familiarity with AI tools (LLM Suite, Github Co-pilot, Claude) and safe AI data products.
• Experience owning a policy/regulatory data domain and transforming it into a governed data product.
• Knowledge of Data Mesh, semantic layers, canonical modelling and modern data catalog/ lineage tools.
• Familiarity with JPMorganChase data standards, CDAO frameworks and governance models.
• Experience in controlled environments with governance, audits and documentation.

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.

Job description

JPMorganChase is seeking a senior Data Governance & Data Product Lead to own the ORDG data products and their lifecycle, ensuring canonical schemas, KDEs and taxonomy are defined, governed, and consumable by AI services and reporting across the firm.

You will collaborate with Technology, Data Science and Product teams, lead the governance forum, and drive adoption of standards while maintaining pace across multiple workstreams.