Data Product Lead – Fintech Engineering
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Job Description
Leading data products powering InPost Pay’s BNPL, credit and payments decisions. Owning roadmaps, AI-first delivery, analytics datasets and Data Consultant capacity in Poland.
Responsibilities:
- 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
- Set AI-first and agentic delivery as the team default
- Shape data products with agents as first-class components, including 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 3 Data Consultants and manage their capacity planning
- Work with feature stores, decisioning and underwriting datasets, Databricks lakehouse, self-serve analytics products, LLM-assisted and agentic tooling, alternative-data providers, and payment-scheme/acquirer partners
Requirements:
- 5+ years in product management for data products or data platforms, including leading or coordinating technical and analytical teams (direct or matrixed)
- 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
- Experience managing stakeholders and roadmaps 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 agent-loop cost and latency control
- Experience setting AI-first ways of working, including LLM-assisted analysis and agentic tooling
- Strategic and outcome-focused approach; ability to frame data-product decisions as ROI
- Ability to translate between Data Engineering/ML and business and risk stakeholders and influence without direct authority
- Ability to prioritise and re-prioritise roadmaps across two product lines under capacity constraints
- Hands-on SQL skills and daily use of AI tools
- Fluent in English (B2+)
- B2B contract arrangement
- Bonus: feature store or ML-enabled decisioning products; acquiring/merchant payments data; ML/MLOps fundamentals; IFRS 9/credit provisioning data concepts; self-serve analytics products; Databricks/lakehouse familiarity
Benefits:
- Modern stack and a lean, AI-native team, with space to experiment with new technologies and bring them into production
- Collaborative, fast-moving environment where autonomy and accountability go hand in hand
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