Product/Data Strategy

Data Provider Integration & Credit Risk Scorecards for DACH Expansion

Built a scalable data and risk setup for DACH expansion, from external company data integration and country-specific credit risk scorecards to stable production operations.

I led this initiative end-to-end across data engineering, data science, analytics, and product to make expansion into new DACH markets technically and operationally robust. I evaluated external data sources for fit, quality, and regulatory alignment, then established production data flows to fetch, normalize, and enrich company data via APIs with Airflow-based orchestration. In parallel, I introduced data quality checks and standardization, developed country-specific scorecards with calibration and backtesting, and adapted the frontend per market to support new data and workflows. Across pilot, soft launch, and hard launch, I owned rollout, monitoring, and incident management, creating an auditable data foundation for reliable decisions and repeatable growth initiatives. The project went through the following phases:

  • Design, staffing, and delivery planning including risk and change management
  • Evaluation of external data sources for suitability, quality, and regulatory fit
  • Production API data flows with normalization, enrichment, and Airflow orchestration
  • Data quality controls and standardization across markets
  • Design, calibration, and backtesting of country-specific credit risk scorecards
  • Country-specific frontend adaptations for new data and product requirements
  • Pilot, soft-launch, hard-launch, plus monitoring and continuous optimization
Snow-covered mountain range at dusk with a clear sky in the background

Architecture and Stack

Project ManagementData EngineeringML/AIScorecard DevelopmentdbtAirflowMLflow