Data Products & Management Director - Fintech Engineering (m/f/n)

The mission

Build a data-first enterprise. Be the real business value layer of the company, owning both strategy and execution.

- Agent-first systems. Agents are production components with guardrails, evals and observability, not experiments. - A state-of-the-art ML and MLOps stack. Models are built, validated, served and retrained properly, on a governed Databricks lakehouse. - One data and ML platform. Feature store, decisioning layer and analytics sit on one foundation. - Data products with an owner and a number. Each one has a business case, a roadmap and a measurable monetary outcome. - Decisioning in real time. Credit and risk decisions are fast, explainable and auditable. - Governance as a speed advantage. GDPR, CCD2 and DORA are built in, so we ship faster than competitors, not slower. - A culture of experiments. Every model and decision is tested, measured and tied to value.

Every decision and every model carries monetary value, and you will run the function accordingly: budget, headcount, return on investment, and accountability for results.

What you'll own:

- The Data & AI strategy for our fintech build, and its delivery. - The organisation, built from scratch: Data Engineering & Analytics, ML & MLOps, Data Product. You set the structure, the bar and who joins. - The budget, including platform and tooling spend (Databricks/lakehouse), and the trade-offs you defend at leadership level. - Board-level reporting on platform readiness, governance and delivery risk.

You are:

- A builder-leader. You love data and love building systems around it. - Hands-on when needed, especially with AI on board. You understand every subsystem you lead, down to the detail. - Someone with 8+ years leading data engineering or ML organisations and 5+ years managing managers or team leads. - Experienced in financial services, payments or lending data platforms: lakehouse, feature store, point-in-time-correct data serving. - Fluent in Databricks/Spark at scale. - Already building agentic systems in production (3+ years). - At ease with VP/C-level stakeholders. - Fluent in English (B2+).

Bonus points for:

- Regulated fintech or banking experience - Scaling a data function from zero - Vendor negotiation - Multi-jurisdiction architecture - MBA

Why InPost?

- Seat at the table. Core leadership team, executive backing, extreme ownership. - Real scope. First hire, your mandate, your organisation. - Real data. - Real pace. A lean, AI-native organisation where decisions take days. - We offer B2B type of contract