Senior Manager, Customer Engagement Analytics

Fan Engagement Data Science turns fan behavior into the strategies that shape how millions of fans experience the NFL. In this role, you'll sit at the center of that work, partnering with our NYC team and stakeholders across Marketing, DTC, and Consumer Insights, while leading a distributed offshore delivery team to turn ambiguous ideas into sharp, high-impact analytics. You’ll work end-to-end, from framing the right question to presenting the answer to Director- and VP-level leaders, on a fast-moving team delivering against one of the NFL's biggest fan engagement programs. Responsibilities Translate ambiguous business questions from Marketing, DTC, and Consumer Insights stakeholders into scoped, high-impact analytical work. Lead and coach a distributed offshore delivery team, keeping quality, pace, and prioritization on track across a compressed daily overlap window. Own your work end-to-end — from framing a hypothesis to presenting recommendations directly to Director- and VP-level stakeholders. Build strong partnerships across marketing, technology, BI, and data engineering as a trusted analytics voice in the room. Design segmentation, predictive models, and experiments (A/B tests) that convert fan behavior into targeted, actionable marketing strategies. Apply GenAI/LLM-assisted analytics tools, within governed workflows, to move faster from data to insight. Define and manage KPIs for fan engagement, partnering with the BI Center of Excellence to expand access to insight across the org. Champion data quality and integrity across every initiative you touch Required Qualifications 7+ years in customer or fan data analytics, with a strong track record of translating data into marketing strategy. Experience turning ambiguous business questions into scoped, delivery-ready analytical work. Experience leading or closely partnering with distributed or offshore teams. A confident, clear communicator — comfortable presenting directly to senior stakeholders. Advanced SQL and Python; working knowledge of ML frameworks and GenAI/LLM-based analytics tools. Bachelor's or Master's degree in Data Science, Business Analytics, Computer Science, Economics, Statistics, or a related field. Understanding of data management principles, including identity resolution and marketing consent. Hands-on experience with a modern cloud data stack (e.g., AWS, Snowflake, or Databricks). Preferred Qualifications Experience with customer data platforms (Adobe Experience Platform, or similar). Familiarity with PII management and data privacy practices. Experience with governed AI-assisted analytics workflows. Familiarity with data observability tooling (e.g., Monte Carlo, Atlan). Other Key Attributes / Characteristics Bias to Ownership : Treats an ambiguous or stalled workstream as something to unblock and drive forward, not something to report status on and wait for direction. Leadership Excellence : Strong leadership skills with a history of managing diverse, distributed, and cross-functional teams effectively. Communication Mastery : Excellent ability to simplify complex data insights into strategic actions and communicate these clearly to both business and technical stakeholders, including in contested or high-pressure settings. Salary / Pay Range This job posting contains a pay range, which represents the range of salaries or hourly rates that the NFL believes, in good faith, at the time of this posting that it might be willing to pay for the posted job in the location(s) specified. The NFL expects to hire for this position near the middle of the range. Only in truly rare and exceptional circumstances, where an external candidate has experience, credentials or expertise that far exceed those required or expected for the position, would the NFL consider paying a salary or rate near the higher end of the range. Terms / Expected Hours of Work NFL employees are required to work 40 hours per week. Travel Quarterly visit to the LA office. Salary $130,000 — $180…