Senior Manager, Customer Engagement Analytics

Nflcareers

New York (NY)

On-site

USD 130,000 - 180,000

Full time

14 days+

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Job summary

NFL is seeking an experienced Fan Engagement Data Scientist in New York to translate fan data into high-impact marketing analytics. You will partner with Marketing, DTC, and Consumer Insights, while leading an offshore delivery team to turn ambiguous ideas into clear analytics.

You will own end-to-end work—from framing questions to presenting recommendations to senior leaders—building trusted analytics across the org with a modern cloud data stack.

Qualifications

7+ years of customer or fan data analytics translating data into marketing strategy.
Experience turning ambiguous questions into delivery-ready analytical work.
Experience leading or partnering with distributed or offshore teams.
Confident communicator presenting to senior stakeholders.
Advanced SQL and Python; ML frameworks and GenAI tools knowledge.
Bachelor's or Master's in Data Science, Analytics, CS, Economics, or Statistics.
Understanding of data management, identity resolution, and marketing consent.
Hands-on with cloud data stacks (AWS, Snowflake, Databricks).

Responsibilities

Translate business questions from Marketing, DTC, and Consumer Insights into scoped analytical work.
Lead and coach a distributed offshore delivery team with quality and pace.
Own work end-to-end from framing hypotheses to presenting to senior leaders.
Build partnerships across marketing, technology, BI, and data engineering.
Design segmentation, predictive models, and experiments for targeted marketing.
Apply GenAI/LLM-assisted analytics within governed workflows.
Define and manage KPIs for fan engagement with BI Center of Excellence.
Champion data quality and integrity across initiatives.

Skills

Advanced SQL

Python

ML frameworks

GenAI/LLM analytics

Stakeholder communication

Lead distributed teams

Education

Bachelor's or Master's in Data Science

Business Analytics

Computer Science

Economics/Statistics related field

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.

$130,000 — $180,000 USD

Terms / Expected Hours of Work

NFL employees are required to work 40 hours per week.

Travel

Quarterly visit to the LA office.

Benefits Information

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: