Melchior Du Marais

Analytics Solutions Department:

Unified DataLab and Analytics Industrialisation into a cohesive product, defining vision, roadmap, governance, and core team.

-DataLab Product (Databricks): Developed and migrated service offering to Databricks, onboarding users through workshops and an international hackathon. → Impact Developed 30+ use cases to ensure structured service offering across entities.

Analytics Industrialisation Product: Established end-to-end processes for turning validated use cases into production-ready data products.

→ Impact Delivered reliable, cost-effective analytics solutions with cloud and platform support.

• AI-Product Leadership: Led the development and go-to-market strategy for the ESG product suite, integrating AI-based estimations of energy performance and labels across 6 countries. Designed ML model architecture, productized APIs, and directed front-end development to deliver an iterative comprehensive solution.

-> Impact: Achieved 800+ organizational adoptions, generating 400K€+ in direct & upsell revenue, with 200K monthly API calls.

• Data layer integration: Led the ingestion and integration of essential socio-economic and cadastral data layers across 10 markets. Unified fragmented data, designed automated pipelines, and exposed insights through APIs and front-end interfaces.

-> Impact: Improved user engagement by 40% on updated data layers. Dashboards enabled real-time usage tracking and performance monitoring, ensuring product reliability and transparency.

• Cross-Functional Team Management: Interim Engineering manager, led 10+ data scientists, engineers, and designers in delivering data and AI products, setting up agile rituals, sprint velocity increased by 30% after 6 months.

Global digital insurance platformenabling distribution of AXAproducts to 13 milion ING customers. Joint venture 150 FTE.

- Centralising data collection & self service to for financial teams to create reports

- Supervision of data delivery: Collection, transformation, ETL & measurement: 95% success rate

- Design central data architecture to combine 4 entities data in enterprise Azure cloud

- Set-up data structure requirement for new countries and ecosystem launch