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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,
Shape the future of document management by owning the strategy, roadmap, and delivery of an AI-enabled platform used across the enterprise. Turn complex customer needs and emerging technologies into intuitive, resilient products that transform the document lifecycle and deliver measurable value at scale. As a Technical Product Owner- Vice President in Corporate Technology Digital Document Management, you will lead the strategy, delivery, and evolution of an AI-enabled platform used across the enterprise. This is an opportunity for an accomplished technical product manager to solve complex customer problems, shape reusable platform capabilities, and deliver products at significant scale. You will act as the voice of the customer and own the end-to-end product lifecycle-from discovery and product strategy through roadmap development, delivery, launch, adoption, and continuous improvement. The platform supports the full document lifecycle, including capture, content management, search, workflow, governance, retention, and secure access. Prior document management experience is valuable but not required; candidates with strong technical product experience in enterprise platforms, software-as-a-service (SaaS), workflow, data, search, content, or AI products are encouraged to apply. You will collaborate with engineering, architecture, design, data, controls, operations, and business teams to turn customer needs into simple, scalable, resilient, and intuitive products. You will be expected to understand platform architecture, application programming interfaces (APIs), integrations, data flows, non-functional requirements, and operational constraints well enough to challenge assumptions, shape technical options, and make informed product trade-offs. You will also define how artificial intelligence, machine learning, and generative AI can improve the way users create, process, find, understand, govern, and use documents-while delivering measurable customer and business outcomes.