VP, Enterprise Data & AI Enablement

JPMorganChase; England; On-site; GBP 120,000 - 180,000; Full time

Job summary

JPMorganChase is seeking an Enterprise Enablement Lead in the Office of Regulation and Document Governance (ORDG) to make ORDG's governed data products and shared AI services reusable across the firm. Reporting to ORDG's AI Data, AI & Analytics Lead, you will drive adoption of shared services and define governance patterns across data platforms.

You will translate principles like build once, reuse safely into concrete integrations, establish enterprise data contracts, and partner with Data

Qualifications

• Experience enabling data products across multiple consumer teams in regulated environments.
• Proven ability to define and govern enterprise data contracts (SLA, versioning, deprecation).
• Knowledge of modern data-consumption patterns and governance for safe AI use.

Responsibilities

• Reach across Firm and consuming platform teams to understand data-usage requirements and translate them into governed consumption patterns.
• Define and publish standard consumption patterns (APIs, Data Mesh products, event topics, utilities).
• Drive adoption of shared AI services across consuming applications and consolidate duplicates.
• Partner with Data Governance & Data Product Lead on lifecycle, quality gates and certification of consumer products.
• Own consumer onboarding: integration, entitlement, contract sign-off and post-go-live health.
• Maintain the shared-service catalogue and measure adoption and contract compliance.

Skills

Data product enablement

Enterprise data contracts

APIs & patterns

Stakeholder management

AI data governance

Cross-functional collaboration

Tools

Data Mesh concepts

Service catalog basics

Job description

JPMorganChase is seeking an Enterprise Enablement Lead in the Office of Regulation and Document Governance (ORDG) to make ORDG's governed data products and shared AI services reusable across the firm. Reporting to ORDG's AI Data, AI & Analytics Lead, you will drive adoption of shared services and define governance patterns across data platforms.

You will translate principles like build once, reuse safely into concrete integrations, establish enterprise data contracts, and partner with Data