At a Glance
- Tasks: Lead the development of an AI-ready Knowledge Repository platform for Chubb.
- Company: Join Chubb, the world's largest publicly traded property and casualty insurance company.
- Benefits: Enjoy competitive salary, hybrid working, and extensive learning opportunities.
- Other info: Be part of a diverse and inclusive team that values integrity and excellence.
- Why this job: Shape the future of knowledge management and AI at a global scale.
- Qualifications: 10+ years in product management with strong Agile delivery experience.
The predicted salary is between 80000 - 100000 £ per year.
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.
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.
Product Owner – Knowledge Repository & Management Platform in London employer: Chubb
Chubb is an excellent employer that fosters a collaborative and innovative work culture, particularly in the dynamic environment of Greater London. Employees benefit from comprehensive professional development opportunities, competitive compensation packages, and a strong commitment to diversity and inclusion. Joining Chubb means being part of a forward-thinking team dedicated to excellence in IT risk and compliance, where your contributions directly impact the organisation's success.
StudySmarter Expert Advice🤫
We think this is how you could land Product Owner – Knowledge Repository & Management Platform in London
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We think you need these skills to ace Product Owner – Knowledge Repository & Management Platform in London
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Product Owner – Knowledge Repository & Management Platform, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Product Owner – Knowledge Repository & Management Platform position at Chubb. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Chubb
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.