Product Owner - Knowledge Repository & Management Platform | London, UK

Product Owner - Knowledge Repository & Management Platform

Job Description

About Chubb

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.

Role Overview

The Product Owner - Knowledge Repository & Management Platform is a senior, strategic role responsible for defining and delivering Chubb's enterprise-wide Knowledge Repository - the foundational AI-ready knowledge layer powering the broader Chubb AI ecosystem.

This platform enables the capture, governance, and operationalization of enterprise knowledge at scale - connecting structured and unstructured content across lines of business and geographies into a governed, machine-interpretable, and reusable knowledge layer. It supports advanced analytics, intelligent automation, and AI-driven decision-making across the enterprise.

The Product Owner will own the product vision, roadmap, and delivery lifecycle for this platform - operating at the intersection of AI, data engineering, knowledge management, and enterprise governance.

Key Responsibilities

Product Strategy & Roadmap

• 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

Backlog & Agile Delivery

• 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

Knowledge Architecture & Governance

• 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

Stakeholder Engagement & Adoption

• 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

AI Enablement

• 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

Qualifications

Required Qualifications

• 10+ years of experience in product management, data platforms, or knowledge management - with at least 3 years owning a platform product end-to-end in an Agile delivery model
• Demonstrated experience defining and delivering enterprise data or knowledge management solutions at scale, including taxonomy design, information architecture, and metadata governance
• Strong Agile delivery discipline: proven ability to manage complex backlogs, write effective user stories, and lead cross-functional delivery teams
• Experience working in a regulated industry (insurance, financial services, or equivalent), with a solid understanding of compliance, data governance, and access control requirements
• Hands-on familiarity with knowledge management technologies: SharePoint Online / M365, graph databases, semantic search, vector stores, or enterprise content platforms
• Experience with enterprise search and knowledge discovery platforms, including evaluation, implementation, or scaled deployment of intelligent search solutions
• Demonstrated ability to influence and align senior stakeholders across business and technology at a global enterprise
• Exceptional written and verbal communication skills; able to translate complex technical concepts for business audiences and vice versa

Preferred Qualifications

• Experience with AI/LLM-adjacent products - including RAG pipelines, knowledge graphs, embedding models, or MCP/API integrations powering AI applications
• Familiarity with Agentive AI architectures and how knowledge layers support intelligent automation workflows
• Background in insurance operations, providing domain credibility with business stakeholders
• Experience designing and implementing chargeback or cost allocation models for shared platform services
• Exposure to enterprise integration patterns, API governance, and data lineage tooling
• Master's degree in Computer Science, Information Management, Data Science, or a related field

We offer in return!

Competitive salary & pension scheme, discretionary bonus scheme, 25 days annual leave plus ability to purchase 5 additional days, hybrid working options, Private Medical cover, Employee Share Purchase Plan, Life Assurance, Subsidised gym membership, Comprehensive Learning & development offerings, Employee Assistance program.

Integrity. client focus. respect. excellence. teamwork

Our core values dictate how we live and work. We're an ethical and honest company that's wholly committed to its clients. A business that's engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that's collaborative and supportive.

Diversity & Inclusion. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances.

We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long-term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know.