Director, Data Engineering, Platform & Governance

About the Job

The LA Clippers have created the most seamless, fan-first experience in live sports at the Intuit Dome. The mission of this role is to advance the data-driven automated home-court advantage for the team and the business without losing authenticity for the fans.

The Director of Data Engineering, Platform & Governance will architect, build, and operate the Los Angeles Clippers' next-generation data platform powering fan engagement, business operations, and AI innovation across the Intuit Dome ecosystem.

This role is responsible for designing a secure, real-time, analytics- and AI-ready and unified data platform that transforms fan interaction data—including mobile app events, ticketing, marketing, concessions, computer vision, and biometric signals—into trusted, cataloged, governed datasets that power marketing, sales, operations, and AI applications.

Reporting to the Chief Data, Analytics & AI Officer, this role combines hands-on data platform leadership with enterprise data and AI governance responsibilities. During the initial phase, the Director will work with a small engineering team and will be expected to contribute directly to platform architecture, pipeline development, and governance implementation.

This is a full-time role based in Inglewood, CA and is eligible for our competitive benefit offering including medical, dental, vision, 401(k) plan with company contribution, Well-Being Allowance, and more. Due to the nature of the sports and live event industry, the candidate must be available to work a flexible schedule including evenings, weekends, and holidays, particularly around Clipper’s home games and other high-profile events.

What you'll do: 

Data Platform Architecture & Engineering; Define and deliver the Clippers' modern data and AI platform enabling real-time fan intelligence and AI.

• Architect and implement the end-to-end data platform, including edge ingestion, streaming pipelines, batch processing, and curated analytics and MLOps layers in collaboration with the infrastructure team
• Build and maintain scalable, low-latency data pipelines integrating ticketing, CRM, MarTech, concessions, IoT, and fan experience systems
• Design analytics-ready data models and marketing schemas that power segmentation, campaign orchestration, and revenue optimization
• Develop real-time data services and APIs supporting fan engagement and intelligence applications and AI products
• Establish engineering standards for data quality, observability, reliability, governance, security, and cost optimization in alignment with existing infrastructure and cyber standards and policies
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