Fox Corporation Logo

Fox Corporation

Senior Manager, Analytics Engineering

Posted Yesterday
Be an Early Applicant
In-Office
Los Angeles, CA
160K-187K Annually
Senior level
In-Office
Los Angeles, CA
160K-187K Annually
Senior level
Lead and grow the analytics engineering squad for FOX Sports, modernizing data collection, instrumentation, governance, transformation, and activation. Translate stakeholder needs into scalable data products, manage large cross-functional initiatives, establish standards for tracking and data quality, and mentor team members while improving platform capabilities and analytics engineering practices.
The summary above was generated by AI

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

The FOX Data team is looking for a highly motivated and collaborative Senior Manager, Analytics Engineering to lead the data squad supporting FOX Sports. This role will help modernize how digital behavioral data is collected, standardized, governed, transformed, and activated across FOX’s platforms.

Working closely with data leadership, this person will help evolve FOX’s analytics engineering practices while serving as a trusted partner to FOX Sports and FOX One business stakeholders. The ideal candidate brings a strong combination of data engineering and business intelligence expertise, sound judgment, and the communication skills needed to translate business needs into scalable, trusted data products.

This role requires someone who can operate across three critical dimensions: stakeholder management, technical depth, and people leadership. The Senior Manager, Analytics Engineering will partner with business and technology leaders on large-scale data initiatives, convert complex business requirements into durable data solutions, and coach a growing team through clear feedback, prioritization, and direction as FOX’s data organization continues to evolve.

A SNAPSHOT OF YOUR RESPONSIBILITIES

  • Lead the data squad supporting FOX Sports, including prioritization, execution, and delivery of analytics engineering and instrumentation work
  • Partner with data leadership to modernize analytics engineering standards, processes, platform capabilities,AI implementations and ways of working
  • Serve as a trusted partner to FOX Sports and FOX One stakeholders, translating business goals into clear technical requirements, data definitions, implementation plans, and scalable data products
  • Lead large-scale data initiatives that require strong stakeholder management, cross-functional alignment, and thoughtful communication across business, product, engineering, analytics, and data teams
  • Establish and improve standards for tracking, data quality, documentation, governance, reusable instrumentation practices, and downstream data usage
  • Collaborate with product, engineering, analytics, and business teams to support accurate, scalable, and reliable data collection, transformation, and reporting
  • Lead engineering and stakeholder discussions to ensure technical solutions align with business priorities and can scale across platforms and use cases
  • Use analytics tools, data orchestration tools, and modern data platforms to support reliable data capture, transformation, reporting, and activation
  • Identify opportunities to simplify, automate, and reduce redundancy across data processes, reporting workflows, and analytics engineering practices
  • Manage, mentor, and develop team members, providing coaching, feedback, prioritization guidance, and thought leadership as the team and broader data organization continue to grow
  • Stay current with developments in analytics engineering, AI, analytics instrumentation, optimization, privacy, data governance, and modern data management practices

WHAT YOU WILL NEED

  • Extensive experience leading analytics engineering functions, including analytics instrumentation, data collection, standardized reporting, and modern data platform initiatives
  • Proven experience leading high-impact, cross-functional programs and teams in complex, stakeholder-driven environments, with the ability to influence strategy and execution across product, engineering, analytics, and business organizations
  • Demonstrated ability to translate business objectives into scalable data products, analytics solutions, technical requirements, data definitions, reporting frameworks, and implementation roadmaps
  • Strong technical foundation spanning analytics engineering, data engineering, and business intelligence, with the ability to balance hands-on technical understanding and strategic leadership
  • Advanced SQL expertise with strong experience designing scalable data models, transformation pipelines, and analytics-ready datasets
  • Experience with modern cloud data platforms and big data technologies, including Databricks, Apache Spark, AWS, Delta Lake, Airflow, Tableau and cloud-based data warehousing solutions.
  • Experience with enterprise analytics and customer data platforms such as Google Analytics, Adobe Analytics, Segment or similar technologies
  • Strong understanding of how analytics engineering decisions impact downstream data platforms, reporting, experimentation, machine learning, and business decision-making
  • Experience establishing analytics engineering standards, governance, documentation, and best practices that improve data quality, consistency, and scalability across the organization
  • Exceptional communication and stakeholder management skills, with the ability to translate complex technical concepts into clear, actionable insights for executive, technical, and non-technical audiences
  • Proven people leadership experience, including hiring, coaching, performance management, career development, organizational planning, and building high-performing engineering teams
  • Experience leading organizations through data modernization and transformation initiatives, with the ability to navigate evolving technologies, processes, and operating models while driving adoption and continuous improvement

NICE TO HAVE, BUT NOT A DEALBREAKER

  • Experience supporting sports, media, streaming, or direct-to-consumer digital products
  • Experience with live event, video, subscription, or consumer-facing digital data products
  • Experience supporting data governance, data quality, or platform migration initiatives
  • Experience with experimentation, optimization, personalization, customer journey analytics, or audience data activation

#Ll-CC1

#Ll-Hybrid

Learn more about Fox Tech at https://tech.fox.com 

#foxtech

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $160,000.00-187,000.00 annually. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.

View more detail about FOX Benefits.

Similar Jobs

10 Days Ago
In-Office
Menlo Park, CA, USA
264K-380K Annually
Senior level
264K-380K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
Lead and grow a team building core database and SQL capabilities for agentic and analytical workloads. Set technical direction, translate product requirements, deliver complex distributed-system projects, mentor engineers, and collaborate across engineering and product organizations to evolve the query engine.
Top Skills: AIHadoopJIRAMlSnowflakeSparkSQL
19 Days Ago
In-Office or Remote
USA
211K-246K Annually
Senior level
211K-246K Annually
Senior level
Robotics
Lead a team of data engineers and analysts, define the data engineering roadmap, oversee data infrastructure, ensure analytics delivery, and establish data governance standards.
Top Skills: AirflowBigQueryDatabricksDbtFivetranLookerPower BIRedshiftSnowflakeTableau
8 Days Ago
In-Office
San Francisco, CA, USA
181K-277K Annually
Senior level
181K-277K Annually
Senior level
Information Technology • Other • Social Media
The Senior Analytics Engineering Manager will oversee analytics engineering vision, manage a team, ensure data quality, and drive data-driven decisions across departments.
Top Skills: EltETLLookerPythonSQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account