Sr. Manager, Club Revenue Analytics & Data Science

• →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.

• 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.

• 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.

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. 

• This position may require some limited travel. (>10%)

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