Director - Club Support Data Science & Analytics

Job Description

The NFL Data & Analytics team is looking for an experienced Director, reporting to the VP of Fan Data & Analytics and based in the New York corporate headquarters, to lead the Club Support Data Science & Analytics team. This critical position will collaborate across key internal stakeholders and external partners to enable enhanced data-driven decision making that fuels fan and revenue growth across our 32 clubs. This is a great opportunity for someone who is passionate about leveraging data science and analytics to drive outcomes, demonstrates both technical and business acumen, has a track record of driving strategy through to market execution, excels in a fast-paced collaborative environment, and is an inspiring leader who can build high performing teams.

Responsibilities
• Be the trusted data science & analytics advisor to our internal League and Club stakeholders across ticketing, revenue optimization strategies, and scalable insights & data products that drive growth & engagement at the clubs
• Manage and develop a team of high performing data scientists and analysts
• Frame and address complex business questions using advanced analytics, statistics, and data science techniques to drive actionable outcomes
• Build analytic roadmap that not only ensures continued support of our Club's most critical business priorities but also articulates a vison for taking data science and analytic capabilities to the next level leveraging our unique data assets at the League
• Collaborate with global functional partners including Club Business Development, Sponsorships, Club support teams, International markets, Data engineering, legal, privacy & consent, and others, to build scalable solutions, enable adoption, and ensure flawless execution of go-to-market initiatives

Required Qualifications
• Master's degree or equivalent in Data Science, Business Analytics, Economics, Statistics, or a related quantitative field, and 3-5+ years' experience leading a data science or analytics team
• Inspiring and passionate leader with a history of developing high performing teams
• Track record of developing advanced analytic insights and creating scalable data-driven solutions to drive quantifiable business outcomes and enhanced customer experiences
• Exhibits ability to develop analytical roadmaps and strategies (including KPI development and tracking) as well as success in bringing cross-functional stakeholders together to execute these plans as go-to-market initiatives
• Demonstrates effective verbal and written communication skills and a proven ability to build productive relationships with internal and external stakeholders
• Experience activating and measuring customer treatment strategies. Should be familiar with test & learn strategies.
• Experience working with large, complex, disparate, sensitive individual-level, datasets using SQL, Python, statistical methods, machine learning frameworks, etc
• Solid applied understanding of data management & governance principles, including identity, matching, privacy and marketing consent protocols.
• Experience working with global customer data and the sports industry a plus

Travel
• Yes, occasional travel to regional stakeholder offices both US and outside US

Terms / Expected Hours of Work
• NFL employees are required to work 40 hours per week.
• Overtime – No
• FLSA Exempt

The NFL currently maintains a Workplace Policy that provides members of our workforce with opportunities to occasionally work from a location of their choice while maintaining a priority on in-person work at an NFL office, which enables us to more effectively collaborate, connect, and build a workplace culture that will drive our continued success.

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.

Jobcode: Reference SBJ-d8yk1q-18-97-9-169-42 in your application.