Principal Product Manager, Enterprise Data Products & AI

Fanatics Commerce is the global leader in licensed sports merchandise operating a vertically integrated platform that designs manufactures and delivers officially licensed apparel jerseys headwear and collectibles for major leagues teams and events worldwide. With more than 900 e-commerce sites and a global omnichannel presence across digital in-venue and retail Fanatics Commerce reaches fans in over 180 countries and powers official fan experiences for many of the worlds most iconic sports properties.

At Fanatics we bring our BOLD Leadership Principles to life every day - building championship teams obsessing over fans acting with entrepreneurial speed and delivering with a determined and relentless mindset.

Fanatics Tech is executing one of the most ambitious supply chain transformations in sports retail rebuilding the technology backbone across product creation merchandising inventory order management sourcing and fulfillment operations and at the center of that transformation is data. As Principal Product Manager you will own the vision strategy and roadmap for Fanatics enterprise supply chain data products and semantic layer creating a single source of truth for both people and AI across a rapidly expanding ecosystem of applications agents and decision-makers. This is a senior individual contributor role operating with a high degree of autonomy across complex cross-functional programs in partnership with data and engineering leaders domain PMs and business stakeholders. The Principal Product Manager Enterprise Data Products & AI delivers business and fan impact through BOLD leadership and execution excellence leveraging data automation and AI-enabled insights.

Success is measured by the ability to deliver results through BOLD capabilities and measurable outcomes.

Team & Leadership Impact (Build Championship Teams)

• Partner closely with data engineering architecture analytics and domain product leaders to align enterprise data product strategy with the broader ERP and supply chain transformation ensuring cross-functional dependencies are managed and roadmaps stay coherent as source systems evolve.
• Serve as the primary product voice for enterprise data products and BI across Supply Chain influencing engineering architecture analytics domain PMs and business stakeholders without direct authority and driving consensus on shared business definitions KPI calculations and enterprise metrics.
• Act as a thought partner to engineering teams building enterprise data platforms semantic capabilities and AI agents translating technical possibilities into meaningful business outcomes and representing the enterprise data product strategy during roadmap planning program reviews and executive discussions.

Fan & Customer Impact (Obsessed with Fans)

• Own the vision for how Supply Chain and Operations stakeholders interact with data evolving from static reporting toward self-service BI conversational analytics automated operational briefings and AI-enabled experiences built on trusted enterprise data products.
• Champion BI products that go beyond dashboards including contextual narratives proactive insights and AI-assisted decision support grounded in certified enterprise data products that enable faster higher-quality operational decisions.
• Partner with Product Creation Merchandising Inventory Order Management Sourcing and Supply Chain Operations to ensure BI capabilities align with the business processes and decisions they are meant to improve measuring success through adoption decision quality operational efficiency and business impact.
• Ensure every enterprise data product is richly documented with business definitions lineage metadata and certified quality standards that make data discoverable trusted and reusable across analytics enterprise applications and AI not siloed within a single BI platform or team.

Innovation & Problem Solving (Limitless Entrepreneurial Spirit)

• Define and execute the roadmap for making enterprise supply chain data AI-ready through semantic enrichment metadata standards contextualization quality certification and governance transforming raw data from ERP WMS OMS PLM and other source systems into trusted consumable products that reliably power AI.
• Partner with engineering to identify productize and scale AI capabilities and agentic workflows that deliver measurable business value across Supply Chain establishing governance validation and feedback mechanisms that ensure AI outputs are trusted explainable and decision-grade.
• Stay current on emerging AI technologies including LLM-powered analytics conversational interfaces AI agents and prompt engineering and translate new capabilities into practical product opportunities across the enterprise data portfolio.
• Drive the semantic layer for Supply Chain ensuring enterprise metrics such as OTIF inventory turns cost of goods and fill rates have consistent authoritative business definitions and calculation methods that analytics and AI can rely on.

Ownership & Execution (Determined & Relentless Mindset)

• Define build and govern a portfolio of enterprise supply chain data products treating each data asset (e.g. Item Master Bill of Materials Inventory Position Purchase Orders Demand Signals OTIF Vendor Performance) as a managed product with documented consumers SLAs and evolution roadmaps.
• Own the data contract model defining how enterprise data products are accessed versioned and evolved as source systems change and partner with engineering to establish observable measurable data pipelines with embedded quality checks anomaly detection and certification throughout the product lifecycle.
• Translate complex ambiguous business problems into clear product requirements epics success metrics and measurable outcomes; communicate roadmap priorities risks and trade-offs clearly to senior stakeholders bringing recommendations rather than simply identifying problems.
• Champion data governance practices across Fanatics enterprise supply chain data products ensuring quality standards metadata certification access policies and semantic consistency are consistently applied and measurable as platforms and source systems evolve.

We are building a future-ready organization. This role is expected to:

• Apply AI and technology to improve efficiency quality and outcomes
• Use data and digital tools to inform decisions and enhance performance
• Demonstrate curiosity and adaptability in adopting new technologies and ways of working
• Contribute to a culture of innovation and continuous improvement

Required Qualifications:

• 6 10 years of product management experience with significant depth in enterprise data products semantic layers business intelligence analytics platforms or AI-enabled data products including demonstrated success owning product vision strategy roadmap prioritization launch adoption and continuous improvement across complex cross-functional programs.
• Proven experience treating enterprise data as a product with clearly defined consumers SLAs contracts quality dimensions success metrics and evolution roadmaps including experience defining or owning semantic layers business glossaries canonical models KPI frameworks or ontology standards across multiple business domains.
• Experience incorporating AI into product strategy with familiarity with LLM-powered analytics conversational interfaces AI agents or prompt engineering and a clear understanding of what makes data AI-ready (semantic context metadata documentation lineage quality certification and validation).
• Working familiarity with at least two supply chain domains such as inventory management order management sourcing warehouse operations fulfillment logistics manufacturing or vendor management; experience working through an ERP WMS OMS PLM or broader enterprise platform transformation is strongly preferred.
• Strong technical acumen including proficiency in SQL working knowledge of data warehouse concepts dimensional modeling semantic modeling ETL/ELT patterns APIs and event-driven data flows with familiarity with cloud data platforms (Snowflake preferred) and experience partnering with data engineering teams across tools such as Snowflake Databricks MicroStrategy Tableau or Power BI.
• Exceptional written and verbal communication skills with demonstrated success building consensus across Product Engineering Analytics Architecture and business teams and the ability to present product strategy roadmaps risks trade-offs and recommendations to senior and executive audiences.
• Experience operating as a senior individual contributor with a high degree of autonomy and influence including comfort influencing without direct authority and navigating competing priorities across multiple domains within Supply Chain eCommerce retail manufacturing logistics or operations technology.

Education:

Bachelors degree in Computer Science Information Systems Business or a related field. An advanced degree is a plus but not required.

• This role may be based in Atlanta GA or Remote - US subject to company eligibility requirements.
• Ability to travel for onboarding partner meetings team sessions and other business needs.

At Fanatics we operate with a BOLD mindset - We Build Championship Teams were Obsessed with Fans we embrace a Limitless Entrepreneurial Spirit and we approach every challenge with a Determined and Relentless Mindset. If youre ready to contribute to a dynamic fast-paced environment that thrives on collaboration and growth we want you to be part of our team.

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 2500 athletes and celebrities and 200 exclusive athletes; and over 2000 retail locations including its Lids retail stores. Our more than 22000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.

ABOUT THE TEAM
Fanatics Commerce is a leading designer manufacturer and seller of licensed fan gear jerseys lifestyle and streetwear products headwear and hardgoods. It operates a vertically-integrated platform of digital and physical capabilities for leading sports leagues teams colleges and associations globally as well as its flagship site .

Fanatics Commerce has a broad range of online sports venue and vertical apparel partnerships worldwide including comprehensive partnerships with leading leagues teams colleges and sports organizations across the worldincluding the NFL NBA MLB NHL MLS Formula 1 and Australian Football League (AFL); the Dallas Cowboys Golden State Warriors Paris Saint-Germain Chelsea FC and Tokyo Giants; the University of Notre Dame University of Alabama and University of Texas; the International Olympic Committee (IOC) England Rugby and the Union of European Football Associations (UEFA).

At Fanatics Commerce we infuse our BOLD Leadership Principles in everything we do:
Build Championship Teams
Obsessed with Fans
Limitless Entrepreneurial Spirit
Determined and Relentless Mindset

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