Senior Manager, Customer Engagement Analytics
$130,000–$180,000 year
On-siteNew York, United States or Manhattan, New York, United States
Job Summary
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, marketing strategies. Apply GenAI/LLM-assisted analytics tools within governed workflows to accelerate data-to-insight delivery. 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. Requires 7+ years in customer data analytics with advanced SQL, Python, and cloud stack (AWS, Snowflake, or Databricks) experience. Onsite presence at an NFL office or stadium location is required; no relocation assistance provided.
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)
- Quarterly visit to the LA office
- onsite presence at an NFL office or stadium location
Desired 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)
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.