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

Employment type
Full-time

Work arrangement
Hybrid