Product Manager – Knowledge Management - Vice President

JPMorgan Chase & Co. • Columbus, OH

2d

About The Position

The Product Manager in Consumer & Community Banking Finance leads development and delivery of a trusted, governed, AI-ready Knowledge Management capability. The role transforms institutional knowledge into a reusable Finance Context Layer: a structured, AI-consumable foundation of business rules, process guidance, operational knowledge, and historical decision context. This foundation enables Finance employees, copilots, and autonomous agents to access relevant information when needed.

The position sets product vision, drives the Knowledge Management roadmap, and leads cross-functional teams to deliver measurable outcomes across Knowledge Discovery, Curation, Governance, Delivery, and Intelligence. It acts as the voice of the customer, guides the product lifecycle from discovery through launch and feedback, and partners with stakeholders to deliver scalable, resilient, stable, high-quality products.

The role owns the Finance Context Layer and its knowledge operating model, including asset quality, taxonomy, metadata, lifecycle workflows, governance, and AI readiness. It partners with technology and platform teams to support retrieval and consumption across agentic frameworks while maintaining a platform-agnostic approach. It also identifies opportunities to ground AI agents in trusted Finance knowledge and improve response accuracy, automation, and employee access to institutional knowledge.

Requirements

• At least 5 years of experience or equivalent expertise in product management or a relevant domain area.
• Advanced knowledge of the product development lifecycle, design, and data analytics.
• At least 4 years of experience leading knowledge management, search, or AI-powered information products, with demonstrated impact on knowledge quality, retrieval accuracy, operational efficiency, or employee productivity.
• Deep expertise in knowledge content strategy and governance, including taxonomy design, metadata standards, versioning, lifecycle management, AI readiness frameworks, and ownership models.
• Hands-on experience with AI-powered systems and Retrieval Augmented Generation approaches, including understanding how knowledge quality and structure affect AI response accuracy and agent performance.
• Familiarity with enterprise knowledge management platforms and AI delivery ecosystems, and understanding of ontology and knowledge graphs.
• Understanding of semantic layers, including the role of business metrics, definitions, and hierarchies and their interaction with knowledge and context layers in AI architectures.
• Demonstrated leadership of Agile and Scrum teams, with strong backlog management, prioritization discipline, and outcome-oriented delivery.
• Finance domain knowledge and ability to work credibly with Finance subject matter experts, data owners, and control functions on knowledge content, business rules, and governance requirements.
• Excellent executive communication and storytelling skills and strong analytical capability.
• Bachelor’s degree or equivalent experience.

Nice To Haves

• Prior experience working in a highly matrixed, complex organization.
• Experience building or governing knowledge or context layers in Finance, banking, or regulated financial services, with familiarity across Finance knowledge asset types.
• Background in context layer architecture and the knowledge layer’s role within a Data, Semantic Layer, Knowledge/Context Layer, AI Agents, and Business Outcomes framework.
• Experience with agentic AI workflows, including tool orchestration, guardrails, and human-in-the-loop design.
• Familiarity with Retrieval Augmented Generation patterns, vector search, and knowledge retrieval evaluation methodologies.
• Experience delivering knowledge management capabilities across multiple platforms simultaneously while maintaining a platform-agnostic posture.
• Advanced familiarity with Knowledge Management methodologies, knowledge-as-a-product operating models, and maturity frameworks.

Responsibilities

• Develop product strategy and vision that deliver value to customers.
• Manage discovery and market research to identify customer solutions and incorporate them into the product roadmap.
• Own, maintain, and develop the product backlog in support of the strategic roadmap and value proposition.
• Establish and track product success metrics, including cost, features and functionality, risk posture, and reliability.
• Build out the Finance Context Layer as a centralized, governed inventory of high-value Finance knowledge assets, including procedures, runbooks, playbooks, process documentation, data dictionaries, business rules, control requirements, and historical decision records.
• Establish and operationalize a Knowledge Operating Model, defining domain ownership, stewardship accountability, versioning standards, and lifecycle governance.
• Drive discovery and quality improvement of Finance knowledge assets, implementing AI readiness standards for structure, metadata, taxonomy, and Retrieval Augmented Generation-compatible formats.
• Develop and steward Finance-specific taxonomy and metadata standards, and define authoring, review, versioning, and deprecation workflows aligned with control and risk standards.
• Partner with technology and platform teams to enable knowledge retrieval and consumption across agentic frameworks while maintaining a platform-agnostic delivery posture.
• Ground AI agents in trusted Finance knowledge and identify high-impact automation opportunities that improve response accuracy, reduce hallucinations, and scale institutional knowledge.
• Collaborate with senior Finance leaders and partners in legal, risk, compliance, design, and operations to set Knowledge Management strategy, facilitate governance decisions, and communicate roadmap progress.
• Lead product lifecycle activities, including discovery, ideation, strategic development, requirements definition, and value management.
• Lead Agile and Scrum teams, managing the backlog, priorities, and outcome-oriented delivery.

Benefits

• Competitive total rewards package, including base salary; 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