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

JPMorganChase•Jersey City, NJ

10d

About The Position

As a Technical Product Owner in Corporate Technology Digital Document Management, you will lead the strategy, delivery, and evolution of an AI-enabled enterprise platform. You will own the end-to-end product lifecycle, from customer 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 work with engineering, architecture, design, data, controls, operations, and business teams to turn customer needs into intuitive, scalable, resilient, and supportable products. You will use technical fluency to shape platform options and trade-offs, and identify ways AI, machine learning, and generative AI can improve how users create, process, find, understand, govern, and use documents while delivering measurable outcomes. Prior document management experience is valuable but not required; experience with enterprise platforms, SaaS, workflow, data, search, content, or AI products is also relevant.

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.
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 directly with engineers and architects to assess solution options, challenge assumptions, sequence technical enablers, manage technical debt, and balance customer value with platform health and delivery risk.
Advanced product-management skills across customer discovery, problem framing, hypothesis development, prioritization, 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 guide 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 the product vision, strategy, and multi-year roadmap for an enterprise AI-enabled platform.
Own the product lifecycle from customer discovery and opportunity assessment through prioritization, delivery, launch, adoption, measurement, and continuous improvement.
Understand customer journeys, pain points, and desired outcomes through research, feedback, product analytics, and engagement with users across the firm.
Translate customer and business needs into product outcomes, epics, features, requirements, and acceptance criteria; prioritize the backlog against 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.
Define product requirements for platform services, APIs, integration patterns, data and metadata capabilities, and non-functional requirements, aligned with enterprise standards.
Shape reusable capabilities across document 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 support adoption and value realization.
Build alignment across stakeholders and present product narratives, recommendations, decisions, and progress to teams and senior leaders.