Senior Manager, Customer Engagement Analytics

National Football League (NFL)

New York (NY)

On-site

USD 130,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Onsite work required
No relocation assistance

Job summary

NFL is seeking a Fan Engagement Data Scientist to partner with the NYC team and stakeholders across Marketing, DTC, and Consumer Insights. You will lead a distributed offshore delivery team, framing questions and presenting findings to Director- and VP-level leaders on high-impact analytics projects.

You will design segmentation and predictive models, apply GenAI-enabled analytics, and define KPIs for fan engagement while ensuring data quality across initiatives on a fast-moving team.

Qualifications

  • 7+ years in customer or fan data analytics
  • Experience turning ambiguous business questions into delivery-ready analytical work
  • Experience leading or partnering with distributed/offshore teams
  • Advanced SQL and Python; working knowledge of ML frameworks and GenAI/LLM analytics tools
  • Understanding of data management principles and marketing consent
  • Experience with a modern cloud data stack (AWS, Snowflake, Databricks)

Responsibilities

  • Translate ambiguous business questions into scoped, high-impact analytical work
  • Lead and coach a distributed offshore delivery team
  • Own work end-to-end from framing a hypothesis to presenting recommendations to senior stakeholders
  • Build partnerships across marketing, technology, BI, and data engineering
  • Design segmentation, predictive models, and experiments for targeted marketing strategies
  • Apply GenAI/LLM-assisted analytics tools within governed workflows
  • Define and manage KPIs for fan engagement with BI Center of Excellence
  • Champion data quality and integrity across initiatives

Skills

SQL
Python
GenAI/LLM analytics
Communication to senior stakeholders
Leadership of offshore teams
Data storytelling

Education

Bachelor's or Master's in Data Science / Analytics / CS

Tools

AWS
Snowflake
Databricks

Job description

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—180,000 USD

Benefits Information
To learn more about our comprehensive benefits offerings, please visit: NFL BENEFITS

At the NFL, in-person work at our offices is a top priority because it allows us to collaborate more effectively, build stronger connections, and maintain the culture that drives our success. This role requires onsite presence at an NFL office or stadium location, and remote and/or hybrid working options are not offered.

NO RELOCATION ASSISTANCE WILL BE PROVIDED.

The NFL is committed to building an inclusive work environment that reflects our incredible fan base. We provide an environment of mutual respect where equal employment opportunities are available to all employees and applicants without regard to status as protected by applicable federal, state, and local laws.

Who We Are

NFL Core Values:
Respect: Everyone matters. We celebrate diverse opinions, honor hard work, and value every contribution.
Integrity: We do what's right, even when it's tough. We hold ourselves accountable and always follow through.
Team Responsibility: We support each other and our communities. No one is bigger than the game, and every action impacts others.
Resiliency: We set high standards, overcome adversity, and adapt to challenges, always striving for excellence.

NFL Leadership Attributes
Build Talent: We develop and nurture potential, empowering individuals to grow and succeed.
Execute: We take action with precision, delivering results that drive our goals forward.
Inspire: We motivate others through vision, energy, and a commitment to excellence.
Live Our Values: We embody our core principles in every decision and action.
Know the Business: We stay informed, understand our industry, and make decisions that strengthen our position.
Think Big: We challenge the status quo, envision bold possibilities, and strive for transformative impact

Who You Are

Talent Attributes: What we expect for our employees:
Embody an enthusiastic, proactive can-do attitude
Embrace grit, free from ego or entitlement
Excel as a relationship builder, with the ability to influence
Eager learner, driven by passion rather than just ambition
Encompasses an incredible work ethic with an agile mindset

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