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About Us

Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. 

Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.

About The Team

We are the Fan Ecosystem Data (FBG) team, responsible for enhancing decision-making and innovation across the entire Fanatics ecosystem through data and analytics. We build products that turn disparate data streams into real-time, actionable insights, empowering teams to unlock greater value for our customers and stakeholders across every Fanatics surface: Commerce, Collectibles, Betting & Gaming, and Topps.

This role sits at the intersection of FBG and the Advertising team, and will focus on the data products that power ecosystem personalization and monetization: Ecosystem Lifetime Value (eLTV) and Next Best Action (NxBA) models, fan recommendation systems, customer identity resolution, and first- and third-party audience activation.

About the Role

As the Senior Staff Data Product Manager, you will own the strategy, prioritization, and delivery of data-centric initiatives across the company. You will identify and champion innovative ways to leverage our data assets, and serve as the connective tissue between data teams and cross-functional stakeholders (product, engineering, finance, compliance, operations, security), ensuring we're building the right data products at the right time, and with measurable business impact.

This is a highly visible, senior IC role reporting into enterprise data leadership, with regular exposure to C-level and executive planning forums, and significant influence over how data, ML, and analytics teams are organized and resourced across the company.

Responsibilities

• Define and drive our data product strategy, aligning opportunities to more effectively leverage our data with the company's objectives
• Translate business challenges into data-driven solutions: data products, ML models, dashboards, or infrastructure investments
• Own and maintain the data product roadmap, prioritizing initiatives across multiple stakeholders while balancing short term vs long term business needs Identify and manage trade-offs between data staffing capacity, cross-team dependencies, and business priorities
• Act as the senior program driver across diverse data roles: staff data engineers, data platform engineers, ML engineers, ML platform engineers, analytics engineers, and data scientists
• Lead cross-functional project management for data initiatives, ensuring milestones are met, blockers are cleared, and scope is aligned
• Partner with executive stakeholders to identify opportunities, gather requirements, and report on KPIs for data products
• Represent our data products in executive-level planning and review forums
• Identify and resolve organizational and architectural ambiguity in undefined problem spaces with minimal oversight
• Evangelize data best practices and the value of data-driven decision-making across the org

Experience And Skills

• 12+ years of experience in product management, program management, or equivalent roles, with at least 8+ years focused on data, ML, or analytics
• Proven track record of shipping data products (e.g., ML-driven features, self-service analytics platforms, reporting suites, or governance tools)
• Deep fluency of data and ML lifecycles from ingestion, modeling, and governance to feature engineering, model training, and deployment
• Hands-on experience partnering with data engineers, ML engineers, and data scientists
• Ability to translate complex data and ML concepts into business value for non-technical stakeholders
• Demonstrated success setting strategy that was later adopted at the executive/board level
• Exceptional skills in roadmap development, prioritization, and cross-functional coordination, including navigating competing or ambiguous priorities across business units
• Strong written and verbal communication skills; comfort presenting to executive leadership

Preferred But Not Required

• Experience with ML platforms (feature stores, model registries, inference hosting) or data platforms (lakehouse, governance, catalogs)
• Background in analytics, statistics, or data science and able to independently explore and validate data-driven opportunities

Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE-a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.

For information about our benefits, please visit https://benefitsatfanatics.com/