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About the Role
The Product Owner – Knowledge Repository & Management Platform is a senior, strategic role responsible for defining and delivering Chubb's enterprise-wide Knowledge Repository. This platform is the foundational AI-ready knowledge layer powering the broader Chubb AI ecosystem, enabling the capture, governance, and operationalization of enterprise knowledge at scale.
Responsibilities
- Own and communicate the end-to-end product vision, strategy, and roadmap for the Knowledge Repository platform, aligned to Chubb's AI readiness goals and the Target Operating Model (TOM).
- Define and sequence delivery milestones toward the 2027 strategic objective: a scalable, enterprise-wide knowledge layer deployed globally across lines of business and geographies.
- Translate business needs from across the organization into platform capabilities that are governed, scalable, and AI-consumable.
- Develop, maintain, and prioritize the product backlog across functional and non-functional requirements — covering the Integration Fabric, Knowledge Graph, Search, Permissions, Governance, Observability, APIs, and MCP layers.
- Author clear, well-groomed user stories with defined acceptance criteria; lead sprint planning, estimation, retrospectives, and scrum-of-scrums ceremonies.
- Work closely with engineering, data, and AI teams to clarify requirements, unblock delivery, and ensure platform quality.
- Define and enforce governed taxonomies, metadata models, and ontologies to ensure findability, consistency, and AI-readiness across knowledge assets.
- Establish data contracts between knowledge producers and consumers, capturing lineage, quality standards, source ownership, and access controls.
- Partner with Legal, Compliance, and Information Security to ensure all knowledge management practices meet regulatory and data governance requirements across global jurisdictions.
- Develop and enforce policies for the secure handling, classification, and sharing of knowledge assets.
- Engage business stakeholders across the organization to understand knowledge gaps, capture institutional expertise, and prioritize platform investments.
- Drive adoption through change management, communication, and measurable usage metrics; develop techniques to increase platform consumption and reduce SME dependency.
- Develop a chargeback or value attribution model to align knowledge platform costs to lines of business.
- Ensure the Knowledge Repository provides structured, confidence-scored, and permission-aware knowledge to enterprise AI tools and platforms via APIs and MCP interfaces.
- Collaborate with AI and data science teams to ensure knowledge assets are machine-interpretable — linking structured enterprise data with unstructured business content across the organization.
- Support the enterprise goal of enabling comprehensive, context-aware decision-making powered by AI across business functions.
Requirements
- Senior, strategic role
- Operate at the intersection of AI, data engineering, knowledge management, and enterprise governance.
Skills
- AI
- Data Engineering
- Knowledge Management
- Enterprise Governance
- Product Strategy
- Roadmap Development
- Agile Delivery
- Backlog Prioritization
- User Story Creation
- Sprint Planning
- Estimation
- Retrospectives
- Scrum-of-Scrums
- Knowledge Architecture
- Taxonomy Definition
- Metadata Modeling
- Ontology Development
- Data Contracts
- Data Lineage
- Data Quality
- Access Controls
- Regulatory Compliance
- Data Governance
- Information Security
- Stakeholder Engagement
- Change Management
- Communication
- AI Enablement
- API Integration
- Machine-Interpretable Data
Experience Level
- Senior
About the Company
- Chubb is the world's largest publicly traded property and casualty insurance company, with operations in 54 countries and territories.
- As an underwriting company, Chubb assesses, assumes, and manages risk with insight and discipline.
- Our technology organization is at the forefront of transforming how institutional knowledge is captured, governed, and operationalized to power AI at enterprise scale.