Technical Product Owner-Vice President (Corporate Technology, Document Platform)

JPMorgan Chase & Co. • Jersey City, NJ

11d • $147,250 - $200,000

About The Position

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 enterprise document platform. You will own the end-to-end product lifecycle, from discovery and product strategy through roadmap development, delivery, launch, adoption, measurement, and continuous improvement. The platform supports the document lifecycle, including capture, content management, search, workflow, governance, retention, and secure access.

You will partner with engineering, architecture, design, data, controls, operations, and business teams to turn customer needs into scalable, resilient, intuitive products. You should be technically fluent enough to understand platform architecture, APIs, integrations, data flows, non-functional requirements, and operational constraints, and to shape technical options and product trade-offs. You will also identify ways AI, machine learning, and generative AI can improve how users create, process, find, understand, govern, and use documents, and ensure that capabilities deliver measurable customer and business outcomes. Prior document management experience is valuable but not required; candidates with technical product experience in enterprise platforms, SaaS, workflow, data, search, content, or AI products are encouraged to apply.

Requirements

• At least 7 years of experience, or equivalent expertise, in technical product management or product ownership, including accountability for complex technology products or enterprise platforms.
• Experience owning end-to-end product strategy and execution, including discovery, vision, market and customer analysis, outcome-based roadmaps, investment prioritization, requirements, delivery, launch, adoption, and value realization.
• Experience delivering enterprise technical products, platform services, APIs, integrations, data products, workflow solutions, or shared capabilities through multiple production releases.
• Strong technical fluency across system and platform architecture, APIs, event- and data-driven integrations, cloud patterns, data models, scalability, resiliency, security, observability, and non-functional requirements.
• Experience partnering with engineers and architects to evaluate solution options, challenge assumptions, sequence technical enablers, manage technical debt, and balance customer value with platform health and delivery risk.
• Advanced product-management discipline across customer discovery, problem framing, hypothesis development, prioritization frameworks, backlog management, agile delivery, release planning, dependency management, and product operations.
• Experience defining key performance indicators and using telemetry, experimentation, customer research, operational data, and financial measures to make decisions and demonstrate adoption, reliability, efficiency, and business value.
• Working knowledge of AI, machine learning, and generative AI product development, including data readiness, model and vendor evaluation, retrieval-augmented generation, quality measurement, monitoring, responsible AI, and human-in-the-loop design.
• Ability to influence product, design, engineering, architecture, data, business, and control partners and drive decisions in a highly matrixed organization.
• Excellent communication and product storytelling skills, including simplifying technical complexity, articulating trade-offs, creating compelling narratives and visuals, and engaging stakeholders from delivery teams through senior leadership.

Nice To Haves

• Product experience with enterprise platforms, SaaS, workflow, collaboration, search, data, content, knowledge management, developer platforms, or AI-enabled products.
• Knowledge of document or content management concepts, or demonstrated ability and curiosity to learn a new product domain.
• Experience delivering AI-enabled capabilities such as intelligent processing, classification, summarization, semantic search, retrieval-augmented generation, question answering, or workflow automation.
• Experience designing products for regulated, security-conscious, or operationally complex environments.
• Experience with product discovery, journey mapping, experimentation, product analytics, business cases, investment planning, and outcome-based roadmaps.
• Proficiency with product, collaboration, analytics, and presentation tools such as Jira, Confluence, Excel, PowerPoint, Power BI, Tableau, or similar platforms.

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 customer discovery and opportunity assessment through prioritization, delivery, launch, adoption, measurement, and continuous improvement.
• Develop an understanding of customer journeys, pain points, and desired outcomes through research, feedback, product analytics, and partnership with users across the firm.
• Translate customer and business needs into product outcomes, epics, features, requirements, and acceptance criteria; own and prioritize the backlog based on strategic value.
• Partner with engineering and architecture to shape solution options and make trade-offs involving APIs, integrations, data contracts, cloud and platform patterns, scalability, resiliency, security, observability, technical debt, and speed to market.
• Own product definition for platform services, APIs, integration patterns, data and metadata capabilities, and non-functional requirements, ensuring they are usable, measurable, supportable, and aligned with enterprise standards.
• Shape reusable capabilities across the document lifecycle, including capture, content management, metadata, search, workflow, records and retention, and secure access and delivery.
• Identify and validate opportunities to apply AI, machine learning, and generative AI to customer problems, including intelligent processing, extraction, classification, summarization, semantic search, question answering, and automation.
• Define product outcomes and use data to measure adoption, customer experience, reliability, efficiency, risk reduction, reuse, cost, and business impact.
• Lead product launches, onboarding, communications, and change readiness to help teams adopt capabilities and realize value.
• Build alignment across stakeholders and present product narratives, recommendations, decisions, and progress to working teams and senior leaders.

Benefits

• Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed