VP, Enterprise AI Platform & Document Lifecycle

JPMorgan Chase; Jersey City (NJ); On-site; USD 180,000 - 250,000; Full time

Job summary

JPMorgan Chase is seeking a Vice President Technical Product Owner to lead strategy, roadmap, and delivery for an enterprise AI-enabled document-management platform. You will own the end-to-end lifecycle—from discovery to adoption—while partnering with engineering, architecture, data, controls, and business teams to deliver scalable, resilient products across the firm.

The role emphasizes defining outcomes, influencing API and integration patterns, and applying AI to improve capture, search,

Qualifications

• 7+ years of experience in technical product management or product ownership.
• Experience delivering enterprise technical products, platform services, or APIs.
• Strong fluency in system and platform architecture, cloud/data integrations, security.
• Experience partnering with engineers and architects to drive outcomes.

Responsibilities

• Set and communicate an inspiring product vision, strategy, and multi-year roadmap for an enterprise AI-enabled platform.
• Own the full product lifecycle, from discovery through delivery, launch, adoption, and value realization.
• Develop deep understanding of customer journeys and desired outcomes via research, analytics, and stakeholder collaboration.
• Translate customer and business needs into clear outcomes, epics, features, requirements, and acceptance criteria; manage backlog.
• Partner with engineering and architecture to shape solutions, trade-offs, APIs, data contracts, and security patterns.
• Define product services, APIs, data capabilities, and non-functional requirements aligned to enterprise standards.

Skills

Technical product management

Enterprise platforms

APIs and integrations

Cloud and data architectures

Stakeholder alignment

Product lifecycle

Engineering collaboration

Job description

JPMorgan Chase is seeking a Vice President Technical Product Owner to lead strategy, roadmap, and delivery for an enterprise AI-enabled document-management platform. You will own the end-to-end lifecycle—from discovery to adoption—while partnering with engineering, architecture, data, controls, and business teams to deliver scalable, resilient products across the firm.

The role emphasizes defining outcomes, influencing API and integration patterns, and applying AI to improve capture, search,