JPMorgan Chase
Technical Product Owner-Vice President (Corporate Technology, Document Platform)
$147K–$200K
Jersey City, NJ +1 · Director · Full-time · Posted Oct 30, 2026
- Location
- Jersey City, NJ
Wilmington, DE - Experience
- 7+ years, or equivalent expertise.
About the job
Leads strategy, roadmap, and end-to-end delivery of an enterprise AI-enabled document platform, from customer discovery through adoption and continuous improvement.
What you'll do
- Own product vision, roadmap, backlog, delivery, launches, and measurement for the platform.
- Partner with engineering and architecture to define platform services, APIs, integrations, data capabilities, and non-functional requirements.
- Identify AI opportunities across document processing, search, understanding, governance, and automation; measure outcomes and drive adoption.
What they ask for
- 7+ years of experience, or equivalent expertise, in technical product management or product ownership, including complex products or enterprise platforms.
- Experience delivering enterprise technical products, platform services, APIs, integrations, data products, workflow solutions, or shared capabilities through multiple production releases.
- Strong technical fluency in architecture, APIs, integrations, cloud patterns, data models, scalability, resiliency, security, observability, and non-functional requirements.
- Product-management expertise spanning discovery, prioritization, backlog management, agile delivery, release planning, metrics, and AI product development.
Nice to have
- Product experience with enterprise platforms, SaaS, workflow, search, data, content, or AI-enabled products; document or content management knowledge is also valued.
- Experience delivering AI-enabled capabilities or designing products for regulated, security-conscious, or operationally complex environments.
Pay
Jersey City,NJ USD 147,250.00-USD 200,000.00 base salary
Tools
APIs, cloud, artificial intelligence, machine learning, generative AI, retrieval-augmented generation, Jira, Confluence
AI focus
Define and deliver AI, machine learning, and generative AI capabilities for document processing, extraction, classification, summarization, semantic search, question answering, and automation; address data readiness, model and vendor evaluation, quality measurement, monitoring, responsible AI, and human-in-the-loop design.
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