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Director, Product Management – Sports Content
NielsenDirector of Product Management for Nielsen's sports content product, focusing on low-latency data and predictive analytics for sports betting. Overseeing compliance and real-time analytics in a high-stakes environment.
About the role
Key responsibilities & impact- Architect and operate high-throughput, low-latency data pipelines serving mission-critical sports betting operations
- Own the platform's real-time data orchestration infrastructure
- Define infrastructure standards, reliability requirements, and incident response protocols
- Build and own proprietary ML models including dynamic win probability, player impact metrics, and injury risk modeling
- Lead fan ID and LTV modeling infrastructure
- Own the global rights and distribution compliance engine
- Own the AI-curated highlight generation product
- Develop sponsorship exposure analytics
- Represent the sports module in enterprise client relationships
Requirements
What you’ll need- 10–15+ years in product management, data engineering, or technical strategy, with at least 5 years in a senior or executive-level role
- Demonstrated experience building or leading real-time data products in sports, media, betting, or adjacent industries
- Hands-on ownership of low-latency infrastructure products strongly preferred
- Track record of developing or overseeing proprietary ML/predictive analytics products that generated defensible IP, not just commodity model implementations
- Experience with global rights management, geo-fencing, or multi-territory compliance in a media or broadcast context is a strong differentiator
Benefits
Comp & perks- comprehensive health and wellness plans
- 401(k) with a Nielsen company match
- generous paid time off
- possible company-provided vehicle
ATS Keywords
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Hard Skills & Tools
Data Pipeline ArchitectureMachine Learning Model DevelopmentPredictive AnalyticsData EngineeringIncident Response ProtocolsInfrastructure Standards DefinitionReal-Time Data OrchestrationSponsorship Exposure AnalyticsFan ID ModelingLTV Modeling