Pay
In line with similar jobs
$130K–$180K against $154K–$226K, the middle half of what similar US postings state.
From 3,008 postings in the last year. Stated ranges, not salaries paid.
New York, New York, United States
Live, first seen by us 23 days agoSalary $130,000—$180,000 USD Benefits Information To learn more about our comprehensive benefits offerings, please visit: NFL BENEFITSRead the full posting
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.Read the full posting
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.Read the full posting
Turn club business questions into actionable insights for the 32 clubs
Lead advanced analytics on ticketing, premium seating and sponsorship behavior
Build and maintain analytics platforms for ticketing, premium seating and sponsorship
Develop attribution models to measure the impact of League data products
Run data quality audits with BI and technology teams
Manage and collaborate with stakeholders from Club Business Development and the 32 clubs to understand their analytics needs and deliver actionable insights.
Lead advanced analytics to evaluate ticketing, premium seating, and sponsorship behavior, including KPI monitoring, segmentation, customer profiling, and predictive modeling.
Oversee the development and ongoing maintenance of comprehensive analytics platforms to support ticketing, premium seating and sponsorship analytics and insights.
Develop and implement attribution models to measure the impact of different League-provided data products.
Collaborate with BI and technology teams to ensure ticketing, premium seating, and sponsorship platforms receive accurate, reliable data through regular quality audits and validation.
Bachelor's degree in Data Science, Analytics, Economics, Statistics, Operations Research, Business Analytics, or a related quantitative discipline.
Experience with Ticketmaster, SeatGeek, or comparable ticketing and live-event datasets.
Demonstrated ability to structure ambiguous business problems, direct analytical work, and translate findings into clear commercial recommendations.
Experience developing club-facing, client-facing, or executive-facing recommendations in a consulting or analytics advisory environment.
Strong proficiency in SQL and Python, with practical experience working with large customer, transactional, or behavioral datasets.
Strong communication skills, with the ability to convey complex analytical findings to stakeholders in a clear and concise manner.
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.
We celebrate diverse opinions, honor hard work, and value every contribution.
In the employer’s words · Read in context
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In line with similar jobs
$130K–$180K against $154K–$226K, the middle half of what similar US postings state.
From 3,008 postings in the last year. Stated ranges, not salaries paid.
Day 23
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- 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.
- 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.
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New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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
Required Qualifications
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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
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.
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Talent Attributes: What we expect for our employees:
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Salary $130,000—$180,000 USD Benefits Information To learn more about our comprehensive benefits offerings, please visit: NFL BENEFITS
New York, New York, United States
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.
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.
- 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.