Director, Data Engineering at FOX Corporation in Los Angeles, CA

Job description

OVERVIEW OF THE COMPANY Fox Corporation Under the FOX banner, we produce and distribute content through some of the world’s leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking. JOB DESCRIPTION ABOUT THE ROLE We are looking for a Director of Data Engineering to provide technical and people leadership across strategic data initiatives supporting our Advertising Sales organization. In this role, you will lead the development of scalable data solutions that drive Business Intelligence (BI) automation and enable the next generation of agent-to-agent advertising experiences. You will be responsible for building and evolving a common context layer that brings together critical data and business context, creating a trusted foundation for analytics, automation, and AI-powered workflows. You will partner closely with engineering, product, data, and business stakeholders to translate complex Ad Sales needs into scalable data capabilities while leading and developing a high-performing engineering team. A SNAPSHOT OF YOUR RESPONSIBILITIES Lead and grow a high-performing Data Engineering & BI team responsible for building scalable data platforms, pipelines, and services supporting Ad Sales Define and execute the technical strategy for Ad Sales BI automation, improving the accessibility, consistency, and reliability of business-critical data and insights Architect and build a common context layer that unifies data and business context to support analytics, automation, and AI-driven experiences Enable agent-to-agent experiences by developing trusted, reusable data foundations and context that AI agents and intelligent applications can leverage Partner with Product, Engineering, Analytics, and Ad Sales stakeholders to identify opportunities to automate workflows and improve data-driven decision-making Establish engineering standards and best practices across data architecture, data quality, governance, observability, scalability, and reliability Drive the modernization and automation of data workflows, reducing manual processes and accelerating the delivery of actionable insights Provide technical direction on complex data engineering challenges while balancing near-term business priorities with long-term platform strategy Recruit, mentor, and develop engineering talent while fostering a culture of technical excellence, accountability, collaboration, and innovation WHAT YOU WILL NEED 10+ years of experience in data engineering, software engineering, data platforms, or related technical roles, including 5+ years leading and developing engineering teams Deep technical understanding of modern data engineering architectures, with experience designing and scaling enterprise-grade data platforms, pipelines, and services Hands-on knowledge of cloud and modern data technologies such as AWS, Databricks, Apache Spark, and related distributed data processing frameworks Strong understanding of data lake, data warehouse, and lakehouse architectures, including approaches for structuring and serving large-scale analytical datasets Experience with modern data orchestration and transformation frameworks and patterns for building reliable, maintainable, and reusable data pipelines Strong understanding of data modeling, data contracts, metadata management, lineage, governance, data quality, and observability Experience designing data platforms that support BI, analytics, automation, machine learning, and AI-powered applications Understanding of how enterprise data, metadata, semantic models, and contextual information can be structured and exposed to support AI agents and agentic workflows Experience establishing engineering standards around scalability, reliability, performance, s