VP, Applied AI/ML Lead

Key responsibilities

• Lead applied machine learning strategy and end-to-end delivery within a major business or technology division
• Translate business problems into production AI/ML solutions at enterprise scale
• Collaborate with Chief Data & Analytics Office and cross-functional stakeholders to align AI initiatives
• Navigate regulatory, compliance, and model risk management requirements for AI deployment in financial services
• Mentor and develop applied AI/ML talent within the team

Requirements

• Proven hands-on experience building and deploying ML/AI systems in production environments
• VP-level or equivalent leadership experience in a complex, large-scale organization
• Deep knowledge of applied ML techniques including supervised, unsupervised, and generative AI methods
• Ability to operate within financial services risk, compliance, and model governance frameworks

Signals

• ⚠ No salary range posted — unusual even for VP-level roles in states with pay transparency considerations
• ⚠ Vague job description with no specific business unit or domain identified
• ⚠ No reporting structure disclosed
• ✓ Part of a coordinated global AI leadership hiring wave — strong organizational mandate
• ✓ Jersey City is a primary JPMC technology hub with significant AI investment
• ✓ JPMC's Chief Data & Analytics Office provides enterprise infrastructure and executive sponsorship
• ✓ Company history shows consistent, simultaneous VP-level AI hires across regions — budget and headcount clearly approved
• ✓ One of the world's largest financial institutions — role has massive scope and resource backing

Company history