Lead Data Product Manager – Fintech Engineering

• Own data products supporting credit and payments decisions across BNPL and Acquiring & Payments
• Own and prioritise the roadmap for feature stores, decisioning and underwriting datasets, and self-serve analytics products
• Sequence investment according to commercial and risk impact
• Translate credit, underwriting, fraud, and commercial needs into prioritised data-product specifications and acceptance criteria
• Partner with the Head of Data Engineering & Analytics and Head of ML & MLOps Engineering to align roadmap, platform capacity, feature-store architecture, and delivery sequencing
• Establish AI-first and agentic delivery as the team default
• Shape data products with agents, guardrails, evaluations, and human-in-the-loop controls
• Lead Data Consultants in AI-first ways of working
• Define and track portfolio success metrics, including adoption, self-serve usage, and decisioning-data SLAs
• Report progress and trade-offs to the Data Products & Management Director and cross-functional stakeholders
• Lead up to three Data Consultants and manage their capacity planning
• Work with Databricks lakehouse, feature-store and underwriting datasets, self-serve analytics products, LLM-assisted and agentic tooling, alternative-data providers, and payment-scheme/acquirer partners

• 5+ years in product management for data products or data platforms
• Experience leading or coordinating technical and analytical teams, directly or through a matrix
• 3+ years of experience in fintech, credit, lending, or payments
• Knowledge of BNPL origination, underwriting, and transaction/acquiring flows
• Strong data-product strategy and roadmap ownership for feature stores and decisioning datasets
• Fluency in point-in-time correctness, freshness, lineage, and self-serve enablement
• Ability to convert business, credit-risk, and ML needs into buildable, prioritised specifications
• Stakeholder and roadmap management across multiple product lines and delivery teams
• Awareness of regulations governing credit and payments data
• 2+ years of experience in AI-first data-product leadership, including agents, guardrails, evaluations, human-in-the-loop, and control of agent-loop cost and latency
• Experience setting AI-first ways of working, including LLM-assisted analysis and agentic tooling
• Strategic and outcome-focused approach, framing data-product decisions as ROI
• Ability to translate between Data Engineering/ML and business and risk stakeholders
• Ability to influence without direct authority across Credit & Fraud Risk, Engineering, and Commercial teams
• Ability to prioritise and re-prioritise roadmaps across two product lines under capacity constraints
• Fluent in English (B2+)
• SQL proficiency and hands-on data interrogation
• Bonus: feature store or ML-enabled decisioning products
• Bonus: acquiring/merchant payments data and payment-scheme data structures
• Bonus: ML/MLOps fundamentals
• Bonus: IFRS 9/credit provisioning data concepts
• Bonus: self-serve analytics products for commercial or risk teams
• Bonus: Databricks/lakehouse platform familiarity

• Architectural authority from day one
• Greenfield, high-stakes work with design decisions lasting for years
• Modern stack and lean, AI-native team
• Space to experiment with new technologies and bring them into production
• Collaborative, fast-moving environment
• Autonomy and accountability
• Hybrid work arrangement
• B2B contract