United States onlyOVERVIEW OF THE COMPANY
Fox TV StationsFOX Television Stations owns and operates 29 full power broadcast television stations in the U.S. These include stations located in 14 of the top 15 largest designated market areas, or DMAs, and duopolies in 11 DMAs, including the three largest DMAs (New York, Los Angeles and Chicago). Of these stations, 18 are affiliated with the FOX Network. In addition to distributing sports, entertainment and syndicated content, our television stations collectively produce approximately 1,200 hours of local news every week. These stations leverage viewer, distributor and advertiser demand for the FOX Network’s national content.JOB DESCRIPTION
FOX Television Stations is seeking a Product Manager – Data & Experimentation to lead the strategy and execution of experimentation measurement capabilities that support FOX Local’s mobile and living room applications. As the Product Manager, Data & Experimentation you will work across Product, Engineering, and Design to nurture a culture of experimentation and ensure the tech team can confidently place bets, validate outcomes, and make customer-centric decisions.
This exciting role is ideal for an experienced Product Manager with strong hands-on analytics expertise and a track record of leading rigorous assumption testing and rapid experimentation. If you enjoy translating ambiguity into measurable outcomes, querying data directly, and elevating how teams design and evaluate product bets, this is an opportunity you should not miss!
A SNAPSHOT OF YOUR RESPONSIBILITIES
Vision & Strategy
Lead how data, analytics, and experimentation are applied to test assumptions and inform product decisions across digital products.
Translate company and product objectives into clear, measurable outcomes and leading indicators.
Establish standards for how product bets are framed, instrumented, measured, and evaluated.
Proactively identify measurement gaps and define plans to close them.
Experimentation & Validation
Own the design and execution of validation strategies across major product initiatives, selecting appropriate methods based on risk, confidence, and impact.
Drive rigorous assumption testing, including prototypes, behavioral analysis, feature experiments, and A/B testing where appropriate.
Define clear success criteria, guardrails, and decision frameworks before experiments launch.
Lead analysis and interpretation of results, translating findings into clear product recommendations and next steps.
Ensure experimentation efforts remain focused on meaningful customer and business outcomes.
Analytics, Dashboards & Measurement
Independently write complex SQL queries to answer high-impact product and business questions.
Conduct deep exploratory analyses to identify growth opportunities, engagement drivers, and areas of friction.
Design, build, and maintain dashboards that provide trusted visibility into product performance and user behavior.
Standardize metric definitions and ensure alignment across teams.
Elevate measurement rigor across initiatives, ensuring every meaningful product bet has a clear evaluation plan.
Cross-Functional Collaboration
Partner with Product, Engineering, and Design to embed validation and measurement into discovery and delivery workflows.
Work closely with Engineering and Data teams to define instrumentation requirements and improve data quality.
Serve as the subject matter expert for experimentation and product analytics within the tech team.
Coach peers on hypothesis framing, success metrics, and interpreting results.
WHAT YOU WILL NEED
6–10 years of experience in product management, product analytics, or data-focused roles.
Strong hands-on experience querying data (SQL required).
Experience building dashboards and data visualizations using modern analytics tools.
Deep experience leading experimentation and validation efforts, with demonstrated ownership of designing, executing, and interpreting assumption testing and experiments across multiple product initiatives.
Proven ability to translate data insights into product decisions and measurable outcomes.
Strong problem-solving skills with the ability to work through ambiguity.
Excellent written and verbal communication skills.
Ability to communicate analytical findings clearly to both technical and non-technical stakeholders.
Ability to remain organized and detail-oriented while managing multiple initiatives simultaneously.
Experience supporting consumer-facing digital products.
Familiarity with experimentation and event-based analytics platforms.
Experience working in media, streaming, or content-driven applications.
Exposure to outcome-based product practices or hypothesis-driven development.
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 $145,000.00-155,000.00 annually for high cost labour markets such as but not limited to New York City and Los Angeles, $120,800.00-129,100.00 annually for all other US locations. This role is also eligible for 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.
AU, CA + 3 more
