Product Owner – Graph Analytics

Financial Conduct Authority

Regulating financial services firms and financial markets in the UK, https://www.fca.org.uk/careers

Requirements of the role

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 supervision
• Own 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 stop
• Apply 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 accountability
• Lead prioritisation and planning across a core multidisciplinary team and dependent platform and engineering teams, managing scope, uncertainty, dependencies and delivery risk
• Use 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 stakeholders
• Own 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 improvement