
ING
Group Product Manager at ING Data Analytics Platform Empowering data science teams to deliver real impact at global scale I lead product strategy for Machine Learning products including ML over API, ML over Kafka-based streaming, and ML over scheduler. These products form the backbone of ING's global Analytics Platform, enabling data scientists to generate insights that serve 40+ million customers. Highlights: 📈 Drove a 300% increase in paid execution project within 12 months, unlocking faster time-to-value for data science teams and reinforcing ING’s leadership in data-driven banking. ⚙️ Scaled the engineering team by 2.25x and cut deployment times by 30%, strengthening platform stability, reliability, and team velocity. 🔍 Introduced and scaled best-in-class tools across the stack including Airflow, MLflow, Kafka, Spark, Hive, Kubernetes, and Azure DevOps, to ensure teams have the infrastructure and autonomy to ship real-world Machine Learning applications with confidence. I focus on building products that empower data scientists and analysts by reducing friction for model deployment and creating scalable products to make Machine Learning and data analytics part of ING's regular operations.
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