Sr. Manager, Club Revenue Analytics & Data Science
Company websitenfl.com (The National Football League, opens in new tab)
Base salary $130K to $180K
Employer-published annual base salary, USD. Advertised base range in New York, NY
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationNew York, NY
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (3 h ago) · observed since
About this job
We are seeking a highly motivated and experienced Sr. Manager of Club Revenue Analytics & Data Science to join our Data & Analytics team at the NFL. Based in the League’s New York office, this role partners with internal stakeholders and all 32 clubs to turn business questions and fan data into actionable recommendations, scalable analytics products, and measurable growth across ticketing, premium seating, sponsorship, and fan engagement. The role also works with Data Engineering and Business Intelligence to ensure solutions are accurate, governed, and scalable.
The ideal candidate combines business acumen, data science and advanced analytics experience, executive communication skills, and a consultative mindset to turn insights into action.
Responsibilities
- Manage and collaborate with stakeholders from Club Business Development and the 32 clubs to understand their analytics needs and deliver actionable insights.
- Oversee the development and ongoing maintenance of comprehensive analytics platforms to support ticketing, premium seating and sponsorship analytics and insights.
- Lead advanced analytics to evaluate ticketing, premium seating, and sponsorship behavior, including KPI monitoring, segmentation, customer profiling, and predictive modeling.
- Effectively communicate analytical findings to stakeholders, translating complex data analysis into clear and concise insights.
- Collaborate with BI and technology teams to ensure ticketing, premium seating, and sponsorship platforms receive accurate, reliable data through regular quality audits and validation.
- Perform data extraction, transformation and analysis using SQL and Python.
- Develop and implement attribution models to measure the impact of different League-provided data products.
- Work with the BI COE to create dashboards to provide insights and recommendations based on analytics findings.
- Stay updated with industry trends and best practices in club analytics and data quality management.
- Collaborate with cross-functional teams, including Club Business Development, Marketing and the 32 clubs to align analytics initiatives and drive data-driven decision-making.
- Collaborate with analytics consulting vendors.
- Foster a collaborative and agile work environment, leveraging tools like Jira for project management and task tracking.
Required Qualifications
- Bachelor's degree in Data Science, Analytics, Economics, Statistics, Operations Research, Business Analytics, or a related quantitative discipline.
- At least 7 years of relevant experience in revenue analytics, pricing, customer analytics, ticketing, consulting, ecommerce, hospitality, sports, media, or another commercially oriented industry or other relevant industry experience.
- Demonstrated ability to structure ambiguous business problems, direct analytical work, and translate findings into clear commercial recommendations.
- Strong proficiency in SQL and Python, with practical experience working with large customer, transactional, or behavioral datasets.
- Experience with predictive modeling, customer segmentation, forecasting, experimentation or campaign measurement, and analytical storytelling.
- Demonstrated experience leading complex analytical workstreams and coaching analysts
- Proven ability to communicate with senior business and technical stakeholders and present complex analysis in a clear, concise, and influential manner.
- Experience partnering with data engineering, BI, product, or technology teams to deliver scalable analytical solutions with strong data quality and governance.
- 3 years of management experience.
Other Key Attributes / Characteristics
- Sports, clubs, ticketing, live events, venue, hospitality, airline, subscription, or revenue management experience.
- Experience with Ticketmaster, SeatGeek, or comparable ticketing and live-event datasets.
- Experience developing club-facing, client-facing, or executive-facing recommendations in a consulting or analytics advisory environment.
- Excellent analytical and problem-solving skills with high attention to detail.
- Strong communication skills, with the ability to convey complex analytical findings to stakeholders in a clear and concise manner.
- Strong collaborator who communicates transparently, supports shared goals, and welcomes constructive challenges.
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
- This position may require some limited travel. (>10%)
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
Source: The National Football League on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($130,000) is above 19% of the 612 Data & ML roles in New York listed on this site; 10 others list the same floor. Their median floor is $170,000; the middle half runs from $140,000 to $197,300.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.
This listingSr. Manager, Club Revenue Analytics & Data Science$130K to $180K
Senior Manager, Customer Engagement Analytics$130K to $180K
Senior Manager, International Data & Strategy$130K to $180K
Senior Manager, Finance - League Operations$125K to $150K
Manager, Global Consumer Insights & Research$115K to $125K
Senior Manager, International Football Development$110K to $135K
Manager, Global Social Monetization$100K to $125K
Chart as a table
| Role | Published base |
|---|---|
| Sr. Manager, Club Revenue Analytics & Data Science (this listing) | $130K - $180K |
| Senior Manager, Customer Engagement Analytics | $130K - $180K |
| Senior Manager, International Data & Strategy | $130K - $180K |
| Senior Manager, Finance - League Operations | $125K - $150K |
| Manager, Global Consumer Insights & Research | $115K - $125K |
| Senior Manager, International Football Development | $110K - $135K |
| Manager, Global Social Monetization | $100K - $125K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-12
Where this pay comes from
Location as the employer wrote it: New York, New York, United States
$130,000—$180,000 USD
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
