VP of Artificial Intelligence
VP AI Strategy
JPMorganChase · Financial Services · 250,000+ employees · 📍 Chicago, IL
JPMorganChase is embedding AI leadership directly into its Client Onboarding & Service function, signaling a major push to operationalize AI within one of its highest-friction, compliance-heavy customer touchpoints.
AI Maturity
advanced
Why Role Exists
Expansion
Company Stage
public
Source
linkedin
Key Responsibilities
- Define and drive AI strategy specifically for Client Onboarding and Service operations
- Translate enterprise AI capabilities into business-line-specific use cases and roadmaps
- Partner with product, technology, and data teams to deploy AI at scale within onboarding workflows
- Navigate regulatory, compliance, and governance requirements for AI deployment in client-facing processes
- Act as a bridge between the Chief Data & Analytics Office and the Onboarding & Service business line
Requirements
- Deep understanding of AI/ML strategy and enterprise deployment, particularly in financial services
- Experience with client onboarding, KYC, or financial services operations workflows
- Ability to work within complex regulatory and governance environments
- Track record of translating AI capabilities into business outcomes at scale
Signals
- ⚠ No salary posted — typical for JPMC but limits transparency for candidates
- ⚠ Vague scope — 'Client Onboarding & Service' is broad and role boundaries are unclear
- ⚠ Reporting line not specified
- ✓ Part of a coordinated, multi-role enterprise AI buildout — not an isolated hire
- ✓ Functional alignment to a specific business unit suggests real mandate and budget
- ✓ Client onboarding is a known AI automation priority across Tier 1 banks — high strategic relevance
- ✓ JPMC's CDAO is one of the most resourced data/AI organizations in global finance
- ✓ Chicago location ties to JPMC's large operations and middle-office presence there
Company History
JPMorganChase has posted at least five VP/Director-level AI strategy roles in a concentrated window (all dated 2026-05-30), spanning APAC, London, Glasgow, and now Chicago — this is a coordinated global AI talent build-out, not a backfill, suggesting strong organizational momentum and executive commitment to distributed AI strategy ownership across business lines and geographies.