Senior Manager, Fan Engagement Analytics & Strategy

The National Football League; New York (NY); On-site; USD 130,000 - 180,000; Full time

Job summary

The National Football League seeks a Fan Engagement Data Scientist in New York to turn fan behavior into strategies for NFL fan programs. You will work with our NYC team and stakeholders across Marketing, DTC, and Consumer Insights while leading a distributed offshore delivery team to deliver end-to-end analytics.

You will frame questions, run analyses, build segmentation and predictive models, and present recommendations to Director- and VP-level leaders, using GenAI/LLM tools in governed

Qualifications

• 7+ years in fan or customer data analytics with marketing impact.
• Experience leading offshore or distributed teams.
• Strong communication to senior stakeholders.
• Advanced SQL and Python with ML framework knowledge.
• Understanding of data management and identity resolution.

Responsibilities

• Translate business questions into scoped, high-impact analytics.
• Lead distributed offshore delivery teams and manage pace and quality.
• Frame hypotheses and present recommendations to Directors and VPs.
• Partner with marketing, technology, BI, and data engineering.
• Design segmentation, predictive models, and experiments.
• Apply GenAI/LLM-assisted analytics within governed workflows.
• Define and track KPIs for fan engagement with the BI Center.
• Champion data quality and integrity across initiatives.

Skills

Advanced SQL

Python

GenAI/LLM analytics

Data segmentation & modeling

Presentation to senior stakeholders

Education

Bachelor's or Master's in Data Science, Computer Science, Economics, Statistics, or related field

Tools

AWS

Snowflake

Databricks

Job description

The National Football League seeks a Fan Engagement Data Scientist in New York to turn fan behavior into strategies for NFL fan programs. You will work with our NYC team and stakeholders across Marketing, DTC, and Consumer Insights while leading a distributed offshore delivery team to deliver end-to-end analytics.

You will frame questions, run analyses, build segmentation and predictive models, and present recommendations to Director- and VP-level leaders, using GenAI/LLM tools in governed