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Product Owner – Graph Analytics
Financial Conduct Authority. Lead the vision, strategy and performance of a complex graph analytics product spanning connected data, analytical services, APIs and user-facing tools .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading complex graph analytics products through all lifecycle stages, with a strong focus on user-centered design, strategic ownership, and evidence-based decision-making. Capable of engaging with multidisciplinary teams and stakeholders to drive product performance, adoption, and continuous improvement.
Highest-signal resume keywords
Graph AnalyticsProduct ManagementAgile MethodologiesUser-Centered DiscoverySC Clearance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Graph Data ModelsGraph DatabasesQuery LanguagesData QualityTechnical DebtOperational ResiliencePerformance MetricsOutcome-Based RoadmappingRisk ManagementBudget Management
Soft Skills
LeadershipCommunicationConsensus BuildingStakeholder EngagementProblem Solving
Certifications & Qualifications
SC Clearance
Industry Keywords
Digital Product ManagementData AnalyticsTechnical ComplexityMultidisciplinary TeamsContinuous Improvement
About the role
Key responsibilities & impact- Lead the vision, strategy and performance of a complex graph analytics product spanning connected data, analytical services, APIs and user-facing tools
- Own and communicate the product vision, strategy and outcome-based roadmap
- Lead the full product lifecycle from discovery and validation through development, operation, continuous improvement and retirement
- Apply technical understanding of graph analytics to shape product choices, review architecture and analytical proposals, and identify where graph approaches add value
- Lead prioritisation and planning across a multidisciplinary team and dependent platform and engineering teams
- Manage scope, uncertainty, dependencies and delivery risk
- Use research, data and direct engagement to understand user problems and validate assumptions
- Build consensus with regulatory users, technical specialists and senior stakeholders
- Own product performance, adoption, benefits, budget, operating cost, risk and lifecycle decisions
- Define success measures, report transparently and enable continuous improvement using qualitative and quantitative evidence
Requirements
What you’ll need- Demonstrated experience leading a complex digital, data, or technology product across multiple lifecycle stages
- Experience setting strategy, prioritizing an outcomes-focused roadmap, and delivering through multidisciplinary teams
- Prior experience managing technically complex data or analytical products
- Demonstrable experience using graph analytics and graph technologies, including graph data models, databases and query languages
- Solid product management practice, including strategic ownership, user-centred discovery, outcome-based roadmapping, prioritisation under uncertainty and evidence-based lifecycle decisions
- Experience leading a multidisciplinary product team and coordinating delivery through dependent platform and engineering teams
- Ability to engage credibly with engineers, data scientists and architects on data models, architecture, scalability, performance, data quality, explainability, technical debt and operational resilience
- Experience applying user-centred, Agile and Lean approaches
- Commercial and value-for-money judgement, including ownership of product budgets and operating costs
- Experience owning the ongoing performance of a live data or analytical product, including adoption, service performance, risk, governance, security, privacy, auditability and human oversight
- SC Clearance is required; candidates will hold or be required to obtain Security Check (SC) level vetting
Benefits
Comp & perks- 25 days annual leave plus bank holidays
- Non-contributory pension (8–12% depending on age)
- Life assurance at eight times your salary
- Private healthcare with Bupa
- Income protection
- 24/7 Employee Assistance
- 35 hours of paid volunteering annually
- Flexible benefits scheme
- Flexible working solutions, including part-time and job sharing where applicable
- Minimum 50% of working time in the office each month across London, Leeds and Edinburgh offices