Lead and grow a multidisciplinary Game Science & Insights team to drive experimentation, causal inference, predictive modelling and AI/ML systems across AAA and live-service titles. Own analytics operations, oversee AI/ML lifecycle from research to production on Snowflake/Databricks, partner cross-functionally to influence product and commercial outcomes, and recruit and mentor technical staff while ensuring high-quality, timely delivery and risk mitigation.

Design and deploy machine learning models (matchmaking, skill rating, recommender systems). Develop representation learning for player behavior, evaluate state-of-the-art methods, translate product problems into ML tasks, lead technical discussions, and collaborate with engineers to integrate models into production.