Product Manager – Knowledge Management - Vice President

Job Description You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients. As a Product Manager in Consumer & Community Banking Finance, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing profitable products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations. In this role, you lead the development and delivery of a trusted, governed, AI-ready Knowledge Management capability. You transform institutional knowledge into a reusable Finance Context Layer—a structured, AI-consumable foundation of business rules, process guidance, operational knowledge, and historical decision context that enables Finance employees, copilots, and autonomous agents to access the right information at the right time. You set product vision, drive the Knowledge Management roadmap, and lead cross-functional teams to deliver measurable outcomes across the five strategic pillars of Knowledge Discovery, Curation, Governance, Delivery, and Intelligence. Job responsibilities Develops a product strategy and product vision that delivers value to customers Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability Owns the build-out of the Finance Context Layer, a centralized, governed inventory of high-value Finance knowledge assets including Standard Operating Procedures, runbooks, playbooks, process documentation, data dictionaries, business rules, control requirements, and historical decision records Establishes and operationalizes a Knowledge Operating Model that treats knowledge as a product, defining domain ownership, stewardship accountability, versioning standards, and lifecycle governance Drives the ongoing discovery and quality uplift of Finance knowledge assets, implementing AI readiness standards including structure, metadata, taxonomy, and Retrieval Augmented Generation-compatible formats Develops and stewards Finance-specific taxonomy and metadata standards, defining lifecycle workflows covering authoring, review, versioning, and deprecation aligned with control and risk standards Partners with technology and platform teams to enable knowledge retrieval and consumption across agentic frameworks, maintaining a platform-agnostic delivery posture Grounds AI agents in trusted Finance knowledge, identifying high-impact automation opportunities that improve response accuracy, reduce hallucinations, and scale institutional knowledge Collaborates with senior Finance leadership and partners across legal, risk, compliance, design, and operations to define Knowledge Management strategy, facilitate governance decisions, and communicate progress against the roadmap Required qualifications, capabilities, and skills 5+ years of experience or equivalent expertise in product management or a relevant domain area Advanced knowledge of the product development life cycle, design, and data analytics Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management 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 of how knowledge quality and structure directly 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—the role of business metrics, definitions, and hierarchies—and how they interact 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 the ability to engage 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; strong analytical capability; bachelor's degree or equivalent experience Preferred qualifications, capabilities, and skills Demonstrated prior experience working in a highly matrixed, complex organization Experience building or governing knowledge or context layers in a Finance, banking, or regulated financial services environment, with familiarity across Finance knowledge asset types Background in context layer architecture and the role of the knowledge layer 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