Principal Product Manager, Enterprise Data Products & AI

About This Role
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. At the center of that transformation is data: the need to make it trustworthy, AI-ready, and consumable across a rapidly expanding ecosystem of applications, agents, and decision-makers.
As Principal Product Manager, you will own the vision, strategy, and roadmap for Fanatics’ enterprise supply chain data products and semantic layer, creating the trusted data foundation that powers self-service analytics, enterprise decision-making, and AI across Supply Chain Technology.
This is not a traditional BI or reporting role. You will define, govern, and continuously evolve a portfolio of enterprise data products, semantic models, and business definitions that create a single source of truth for both people and AI.
This is a senior individual contributor role. You will operate with a high degree of autonomy across complex, cross-functional programs, partnering closely with data and engineering leaders, domain PMs, and business stakeholders to ensure Fanatics’ enterprise data products, semantic layer, and AI-ready foundation continue to evolve as the business scales.
How You Will Make an Impact

Data Asset & Data Product Ownership

• This is the heart of the role. Fanatics' supply chain data spans Product Creation, Merchandising, Inventory, Order Management, Sourcing, and Operations. It must be trusted, AI-ready, and consumable across analytics, enterprise applications, and AI.
• Define, build, and govern a portfolio of enterprise supply chain data products by 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.
• Drive the semantic layer for Supply Chain, ensuring enterprise metrics (e.g., OTIF, inventory turns, cost of goods, fill rates) have consistent, authoritative business definitions and calculation methods that analytics and AI can rely on.
• Ensure every enterprise data product is richly documented with business definitions, lineage, metadata, and certified quality standards that make data discoverable, trusted, and reusable.
• Build and maintain a discoverable knowledge layer consumable across analytics, enterprise applications, and AI, rather than siloed within a single BI platform or team.
• Partner with engineering to establish observable, measurable data pipelines with embedded quality checks, anomaly detection, and certification throughout the product lifecycle.
• Own the data contract model, defining how enterprise data products are accessed, versioned, and evolved as source systems change.

AI Readiness & Agentic Data Strategy

• Building AI-ready enterprise data products is a strategic objective of this role. Raw data from ERP, WMS, OMS, PLM, and other source systems must be transformed into trusted, contextual, and consumable products before it can reliably power AI.
• Define and execute the roadmap for making enterprise supply chain data AI-ready through semantic enrichment, metadata standards, contextualization, quality certification, and governance.
• Partner with engineering to identify, productize, and scale AI capabilities and agentic workflows that deliver measurable business value across Supply Chain.
• Establish governance, validation, and feedback mechanisms that ensure AI outputs are trusted, explainable, and decision-grade.
• Stay current on emerging AI technologies and translate new capabilities into practical product opportunities across the enterprise data portfolio.

BI Experience & Analytics Delivery

• 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.
• 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.
• Measure success through adoption, decision quality, operational efficiency, and business impact, not just delivery.

Domain Coverage
This role sits primarily within Supply Chain Technology, with close adjacency to Product Creation and Merchandising and Planning. Deep familiarity with at least two Supply Chain domains is preferred, with the ability to quickly develop a working understanding across the broader ecosystem.

• Product Creation and PLM: Items, products, line plans, bills of materials, licensing, and digital assets.
• Merchandising and Planning: Assortment planning, demand signals, inventory allocation, and merchandise performance.
• Inventory and Order Management: Inventory position, order lifecycle, fulfillment events, and OTIF.
• Sourcing and Vendor Management: Purchase orders, vendor performance, compliance data, and costing.
• Supply Chain Operations: Warehouse events, production and shop floor activity, logistics, and distribution performance

Roadmap & Portfolio Management

• Own the vision, strategy, and roadmap for Fanatics’ enterprise supply chain data product portfolio, balancing near-term business priorities with long-term platform evolution and AI enablement.
• Translate complex, ambiguous business problems into clear product requirements, epics, success metrics, and measurable outcomes in close partnership with engineering and architecture.
• Manage cross-domain dependencies and keep the enterprise data product roadmap aligned with the broader ERP and Supply Chain transfor