VP of Artificial Intelligence
VP, Data Strategy & AI Solutions
JPMorganChase · Financial Services · 5000+ employees · 📍 New York, NY
JPMorganChase's Chief Data and Analytics Office needs a VP to own enterprise data and AI strategy, translate business needs into LLM/agent-native products, and navigate the regulatory and governance complexity of deploying AI at one of the world's largest financial institutions.
AI Maturity
advanced
Reports To
Chief Data and Analytics Officer
Why Role Exists
Expansion
Company Stage
public
Source
linkedin
Key Responsibilities
- Define and translate stakeholder requirements into actionable AI and data strategy plans
- Partner cross-functionally with compliance, legal, government relations, technology, and cybersecurity on AI/data initiatives
- Develop product and business requirements for engineering teams and validate delivered software
- Test LLM and agent outputs for accuracy; design 'LLM as judge' evaluation frameworks
- Use LLMs and agents to create data artifacts and advance Agent Native data strategy
- Promote data culture and best practices across the organization
Requirements
- 6+ years in finance, operations, data, or technology at a leading financial institution or equivalently complex organization
- Hands-on experience with AI tools, LLMs, and agentic frameworks in a professional context
- Strong cross-functional collaboration skills in a large matrixed organization
- Advanced proficiency in Excel and PowerPoint for executive-level analysis and communication
- Bachelor's degree in Finance, Data Science, Technology, or related field
Signals
- ⚠ No salary range posted despite NYC pay transparency laws — unusual and worth querying
- ⚠ Role scope blends hands-on LLM testing with enterprise strategy, which may indicate unclear positioning or role conflation
- ⚠ Preferred qualifications section appears incomplete/cut off in posting
- ✓ Sits within the Chief Data and Analytics Office — a firm-wide mandate with executive sponsorship
- ✓ Explicit reference to 'Agent Native' data strategy signals forward-looking, well-resourced initiative
- ✓ Multiple concurrent global AI hires (London, Glasgow, APAC, NYC) confirm serious enterprise AI build-out, not isolated effort
- ✓ Direct intersection of AI governance, LLM evaluation, and strategy is a high-visibility, durable remit
- ✓ JPMC's scale means impact is enterprise-wide across one of the world's most complex organizations
Company History
No direct duplicate of this specific NYC-based Data Strategy and AI Solutions VP role appears in prior postings, but the pattern of 4+ senior AI hires across global hubs in the same time window strongly suggests this is part of a coordinated organizational expansion of the CDAO function rather than a backfill.