Product Owner - Knowledge Management

JPMorgan Chase JPMorgan Chase · Banking · Wilmington, DE +1 · Consumer & Community Banking

Product Owner for an AI-powered Knowledge Management system, focusing on improving self-service, reducing contact volumes, and boosting agent productivity through search, conversational experiences, and intelligent content. The role involves defining strategy, prioritizing roadmaps, leading cross-functional teams, and ensuring AI readiness of knowledgebases. Key responsibilities include driving agentic AI use cases, managing enterprise knowledge governance, and partnering with legal, risk, and operations for safe scaling.

What you'd actually do

  1. Collaborate with senior product leaders to define and deliver the Knowledge Management( KM) strategy and roadmap; prioritize the backlog and drive product vision
  2. Lead AI readiness uplift of knowledge: partner with lines of business, operations, and content owners to implement AI readiness standards (structure, metadata, taxonomy, retrieval augmented generation (RAG) friendly formats), modernize legacy content, and improve governance so knowledgebases are production ready for search, conversational, and agentic AI experiences
  3. Own enterprise knowledge governance: steward content strategy and lifecycle workflows; partner on tooling to improve authoring velocity, review timelines, and AI readiness scores
  4. Drive agentic AI use cases: identify high impact automations where tool use and workflows improve time to resolution and knowledge freshness; pilot, measure, and scale across the firmwide knowledge domain
  5. Translate user research into product roadmaps: synthesize agent and customer insights into prioritized backlogs and business benefits focused on self service uplift, call deflection, answer quality, and average handle time (AHT)

Skills

Required

  • 7+ years of product management experience owning delivery in complex, cross functional environments, with a track record of shipping and iterating customer facing products.
  • Demonstrated ability to execute operational management and change readiness activities
  • Strong understanding of delivery and a proven track record of implementing continuous improvement processes
  • Experience in product or platform-wide release management, in addition to deployment processes and strategies
  • 4+ years leading knowledge management, search, or conversational Artificial Intelligence (AI) products with measurable impact on self service, call deflection, answer quality, or handle time
  • Advanced knowledge of the product development lifecycle (discovery, ideation, requirements, roadmap, Business benefits, experimentation) and value measurement; hands on experience with AI powered systems and retrieval augmented generation (RAG) approaches
  • Demonstrated leadership of Agile/Scrum teams with strong prioritization and backlog management; expertise in knowledge content strategy and governance (taxonomy, metadata, versioning, lifecycle workflows, AI readiness)
  • Familiarity with enterprise Knowledge Management platforms, search/retrieval systems, and analytics for relevance and answer quality evaluation
  • Excellent executive communication and storytelling; strong analytical skills; bachelor’s degree or equivalent experience

Nice to have

  • Proficient knowledge of the product development life cycle, design, and data analytics
  • Advanced knowledge / familiarity with Knowledge Management systems, methodologies, and processes
  • Experience working in or with customer service operations / contact centers
  • Strong leadership skills and experience working in agile/scrum teams preferred
  • Background with agent assist and agentic AI workflows (tool orchestration, guardrails, human in the loop) that improve time to resolution and accuracy.
  • Familiarity with retrieval augmented generation (RAG) patterns and vector search, with an experimentation mindset linking product changes to operational KPIs in regulated environments

What the JD emphasized

  • AI readiness standards
  • retrieval augmented generation (RAG) friendly formats
  • agentic AI use cases
  • tool use and workflows
  • AI powered systems and retrieval augmented generation (RAG) approaches
  • agent assist and agentic AI workflows

Other signals

  • AI-powered Knowledge life cycle
  • search, conversational experiences, and intelligent content
  • AI readiness uplift of knowledge
  • retrieval augmented generation (RAG) friendly formats
  • agentic AI use cases
  • tool use and workflows
  • AI powered systems and retrieval augmented generation (RAG) approaches
  • agent assist and agentic AI workflows