As a Product Delivery Manager in Knowledge Management team, you work to enhance and optimize the way products are delivered to customers. As a key member of the team, you will lead an AIpowered Knowledge lIfe cycle that improves selfservice, reduces contact volumes, and boosts agent productivity through search, conversational experiences, and intelligent content. You will set vision, prioritize the roadmap, and lead crossfunctional teams to deliver measurable outcomes for customers and employees.

Job responsibilities

• Leads end-to-end product delivery processes including intake, dependency management, release management, product operationalization, delivery feasibility decision-making, and product performance reporting, while escalating opportunities to improve efficiencies and functional coordination
• Leads the completion of change management activities across functional partners and ensures adherence to the firms risk, controls, compliance, and regulatory requirements
• Effectively manages timelines and dependencies while monitoring blockers, ensuring adequate resourcing, and liaising with stakeholders and functional partnersCollaborate with senior product leaders to define and deliver the Knowledge Management( KM) strategy and roadmap; prioritize the backlog and drive product vision
• 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
• Own enterprise knowledge governance: steward content strategy and lifecycle workflows; partner on tooling to improve authoring velocity, review timelines, and AI readiness scores
• 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
• 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)
• Lead cross functional Agile delivery: guide product analysts, data scientists, data owners, and engineering to ship iterative improvements with clear success metrics on reliability, risk posture, and cost to serve
• Partner across legal, risk, design, and operations to scale safely: ensure model and content governance, track drift, and communicate outcomes to senior stakeholders; facilitate solutions and align with senior management across the organization
• Build relationships with diverse stakeholders across JPMorganChase to drive adoption and impact at scale

Required qualifications, capabilities, and skills

• 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 Knowledget Manament platforms, search/retrieval systems, and analytics for relevance and answer quality evaluation
• Excellent executive communication and storytelling; strong analytical skills; bachelors degree or equivalent experience

Preferred qualifications, capabilities, and skills

• 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