Senior Manager, Customer Engagement Analytics

The National Football League (NFL) is seeking a Senior Manager for Customer Engagement Analytics to lead analytics initiatives that enhance fan experiences. In this role, you will partner with stakeholders across various departments and manage a distributed team to deliver impactful analytical solutions.

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

Requirements:

• 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)
• 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)