Director of Data Engineering (Player Lifecycle & Personalization)

Join Riot Games as the Director of Data Engineering for Player Lifecycle & Personalization. In this role, you will define and execute the data strategy for player engagement, retention, and personalization. You will lead the modernization of the data ecosystem, drive standardization of player data, and build a high-performing organization. You will also communicate strategy and outcomes to senior leadership and stakeholders.

• Definir y ejecutar la estrategia de datos para el ciclo de vida del jugador y la personalización en Riot.
• Establecer productos de datos confiables, modelos de datos y capacidades de inteligencia que respalden el compromiso, la retención y la personalización.
• Colaborar con líderes de Producto, Insights, Ciencia de Datos y AI para traducir las necesidades comerciales en capacidades y plataformas de datos escalables.

• Bachelor’s degree in Computer Science or a related field, or equivalent experience
• Experience building data products and data capabilities that support lifecycle management, personalization, customer intelligence, loyalty, CRM, or similar domains
• 5+ years of people leadership experience, including experience leading managers and senior technical leaders
• Experience leading data engineering, machine learning engineering, data platform, analytics engineering, or customer intelligence organizations
• Strong leadership experience building teams, developing managers, and delivering through others
• Deep understanding of modern data platforms, data products, governance, and data quality practices including Agentic DE AI platforms
• Proven ability to partner across Product, Analytics, Data Science, Engineering, and executive leadership teams
• Experience defining strategy and operating effectively in ambiguous environments
• 12+ years of experience in data engineering, data platforms, analytics engineering, or related disciplines
• Master’s degree in Computer Science or a related field, or equivalent experience
• Experience with large-scale data platforms in gaming or adjacent consumer products
• Familiarity with large-scale experimentation platforms and cross-surface measurement
• Experience with autonomous AI coding platforms, modern data platforms, including transformation frameworks and governance or metadata tooling (e.g., Devin, Databricks, Atlan)
• Experience leading platform-focused engineering organizations
• Experience leading and scaling distributed or remote teams
• Experience supporting machine learning, experimentation, and AI-driven products
• Experience leading data modernization and organizational data maturity initiatives
• Gaming industry experience is a plus but not required