Product Owner

Job title: Product Owner
- Graph AnalyticsDivision: Data, Technology & Innovation (DTI)Department: Digital Intelligence Solutions

Salary:
National (Edinburgh and Leeds) ranging from 60,700 to 87,400 and London from 66,600 to 96,300 (salary offered will be based on skills and experience)This role is graded as: Lead Associate
- RegulatoryYour Internal recruitment contact is Pat at external recruitment contact is Ben via Applications must be submitted through our online portal. Applications sent via social media or email will not be accepted.
About the FCA and team We regulate financial services firms in the UK, to keep financial markets fair, thriving and effective. By joining us, you’ll play a key part in protecting consumers, driving economic growth, and shaping the future of UK finance services.  The Data, Technology and Innovation (DTI) division enables the FCA to be a digital-first, data-led smart regulator by delivering a secure, agile, and cost-effective technology and data ecosystem that drives better decisions, transparency, and operational efficiency.
Sitting within DTI, the Digital Intelligence Solutions team deliver a Digital Unified Intelligence Environment (DUIE) to surface insights for action through tools, dashboards and bespoke analysis.
Role

responsibilities:
You will lead the vision, strategy and performance of a complex graph analytics product spanning connected data, analytical services, application programming interfaces and user-facing tools with minimal supervisionOwn and communicate the product vision, strategy and outcome-based roadmap, balancing user needs, regulatory outcomes, technical opportunities, risk, cost and the FCA’s strategic objectives Lead the full product lifecycle, from discovery and validation through development, operation, continuous improvement and retirement, using evidence to decide when to invest, continue, change direction, pause or stopApply solid technical understanding of graph analytics to shape product choices, review architecture and analytical proposals, and identify where graph approaches will and will not add value, while working with technical leads who retain detailed engineering and architecture accountabilityLead prioritisation and planning across a core multidisciplinary team and dependent platform and engineering teams, managing scope, uncertainty, dependencies and delivery riskUse research, data and direct engagement to understand user problems, test assumptions and turn needs into prioritised outcomes. Build consensus with regulatory users, technical specialists and senior stakeholdersOwn product performance, adoption, benefits, budget, operating cost, risk and lifecycle decisions. Define success measures, report transparently and use qualitative and quantitative evidence to enable continuous improvementSkills required: Minimum:Demonstrated experience leading a complex digital, data, or technology product across multiple lifecycle stages, including setting strategy, prioritizing an outcomes-focused roadmap, and delivering through multidisciplinary teamsPrior experience managing technically complex data or analytical productsDemonstrable experience using graph analytics and graph technologies, including graph data models, databases and query languagesEssential: Solid product management practice, including strategic ownership, user-centred discovery, outcome-based roadmapping, prioritisation under uncertainty and evidence-based lifecycle decisionsExperience leading a multidisciplinary product team and coordinating delivery through dependent platform and engineering teams, while maintaining clear accountability for product outcomes rather than acting primarily as a delivery managerAbility to engage credibly with engineers, data scientists and architects on data models, architecture, scalability, performance, data quality, explainability, technical debt and operational resilienceExperience applying user-centred, Agile and Lean approaches pragmatically, using research, service data and feedback to validate priorities, measure outcomes and improve the product Commercial and value-for-money judgement, including ownership of product budgets and operating costs, and balancing investment, user value, organisational benefit and risk Experience owning the ongoing performance of a live data or analytical product, including adoption, service performance, risk, governance, security, privacy, auditability and human oversightBenefits: 25 days annual leave plus bank holidaysColleagues spend a minimum of 50% of their working time in the office each month (60% for Directors and Executive Directors) across our London, Leeds and Edinburgh officesNon-contributory pension (8–12% depending on age) and life assurance at eight times your salaryPrivate healthcare with Bupa, income protection, and 24/7 Employee Assistance35 hours of paid volunteering annuallyA flexible benefits scheme designed around your lifestyleFor a full list of our benefits, and our recruitment