Senior Product Manager, Enterprise Data Products & AI

Role Overview Fanatics Tech is executing one of the most ambitious supply chain transformations in sports retail, rebuilding the technology backbone across product creation, merchandising, planning, inventory, sourcing, and fulfillment - and at the center of that transformation is data. As Senior Product Manager, Merchandising & Planning Data Products & AI, you will own the strategy and roadmap for the data assets and BI experiences that power Merchandising, Planning, and Product Creation, and connect those domains through shared, trusted data for both people and AI. This is a senior individual contributor role operating with a high degree of autonomy, reporting to the Director of Product Management and partnering with data and engineering leaders, domain PMs, and business stakeholders. The Senior Product Manager, Merchandising & Planning Data Products & AI delivers business and fan impact through BOLD leadership and execution excellence, leveraging data, automation, and AI-enabled insights. How Will You Drive Impact 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 merchandising and planning data roadmaps with the broader planning and supply chain transformation, keeping cross-functional dependencies visible as source systems evolve. • Serve as the primary product voice for merchandising and planning data and BI, partnering with engineering as co-owner of roadmap, prioritization, and delivery, and driving consensus among analytics, domain PMs, and business leaders on shared business definitions and KPIs. • Connect Planning, Merchandising, Product Creation, and Sourcing through shared, governed data assets, so a change in one domain - a buy adjustment, a bill of materials update, a shift in demand - is visible and actionable in the others. Fan & Customer Impact (Obsessed with Fans) • Partner with Merchandising, Planning, Product Creation, and Sourcing leaders to understand the decisions they make and design data assets and BI experiences that make those decisions faster and better. • Build working fluency in the functions you support: merchandising and planning (integrated business planning, demand forecasting, assortment and buy planning, allocation and replenishment, inventory optimization, pricing and markdown); product creation and development (product line management, line planning, bill of materials and materials planning, costing, product lifecycle management, digital assets, licensing); and sourcing strategy and costing (vendor selection, target costing, landed cost estimates, capacity and material availability). • Move business partners from static reporting toward self-service BI, conversational analytics, and automated briefings built on certified, trusted data, measuring success through adoption, decision quality, and business impact. • Enable adjacent teams through trusted data: well-governed product, bill of materials, materials, cost, and demand data gives Sourcing and downstream Supply Chain teams earlier visibility into material needs and demand shifts, supporting speed to market and a more agile supply chain. • Ensure every data asset is documented with business definitions, lineage, and certified quality standards, and capture the policies, SOPs, and institutional know-how of merchants and planners in a form agents can retrieve - making both discoverable and reusable across analytics, enterprise applications, and AI. Innovation & Problem Solving (Limitless Entrepreneurial Spirit) • Define and execute the roadmap for making merchandising and planning data AI-ready through semantic enrichment, metadata standards, and quality certification, contributing consistent definitions (sell-through, weeks of supply, in-stock rate, forecast accuracy) and domain entities and relationships to the enterprise semantic layer and knowledge graph that give AI agents business context. • Partner with engineering to identify, productize, and scale AI capabilities and agentic workflows in the domain - such as conversational analytics for merchants and planners, forecast exception surfacing, and cost and bill of materials anomaly detection - establishing governance, validation, and feedback mechanisms, including evaluation criteria, test datasets, and human approval points where decisions carry business risk, that keep AI outputs trusted, explainable, and decision-grade. • Enable citizen application development by giving business teams governed, well-documented data and shared definitions they can safely build on, and help determine when a citizen-built solution is ready to be productized. • Stay current on emerging AI technologies and translate new capabilities into practical product opportunities. Ownership & Execution (Determined & Relentless Mindset) • Define, build, and govern a portfolio of data products - such as Item and Product, Bill of Materials and Materials, Cost, Demand Signals, Inventory Availability, and Vendor Capacity - treating each as a managed product with documented consumers, SLAs, and evolution roadmaps. • Build governance into the lifecycle of every data asset - ownership, access policies (including what data and actions AI agents can reach), metadata, certification, and data contracts with embedded quality and freshness checks - so data can be shared reliably across domains as source systems change. • Translate ambiguous business problems into clear requirements, epics, and success metrics; run structured intake and prioritization; and bring recommendations, not just problems, to senior stakeholders. • Lead the modernization of merchandising and planning reporting - not a lift-and-shift, but a fresh look at requirements with each team - and track adoption so unused assets are retired and valuable ones improve. AI & DIGITAL CAPABILITY 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 CAPABILITIES & EXPERIENCE YOU BRING • 5-8 years of product management experience with depth in data products, BI and analytics platforms, semantic layers, or AI-enabled data solutions, including ownership of strategy, roadmap, prioritization, launch, and adoption across cross-functional teams. • Experience treating data as a product with defined consumers, SLAs, quality dimensions, and success metrics, including defining or contributing to semantic layers, business glossaries, or KPI frameworks. • Experience incorporating AI into product strategy, with familiarity with LLM-powered analytics, conversational interfaces, or AI agents, and a clear understanding of the building blocks that make data AI-ready: semantic layers, metadata, knowledge graphs, retrieval, and evaluation practices. • Working knowledge of merchandising and planning (integrated business planning, demand and inventory planning, assortment and buy planning), product creation and development (product line management, bill of materials, materials, costing, digital assets), and sourcing strategy and costing. Licensing experience is a plus. • Strong technical acumen including proficiency in SQL, data warehouse and semantic modeling concepts, ETL/ELT patterns, and APIs, with familiarity with cloud data platforms (Snowflake preferred) and BI tools such as MicroStrategy, Tableau, or Power BI. • Exceptional written and verbal communication skills, with demonstrated success building consensus across Product, Engineering, Analytics, and business teams and presenting strategy, trade-offs, and recommendations to senior audiences. • Experience as a senior individual contributor with high autonomy, comfortable influencing without direct authority and navigating competing priorities across retail, eCommerce, consumer products, or merchandising and planning technology. Education Bachelor's degree in Computer Science, Information Systems, Business, or a related field. An advanced degree is a plus but not required. WORK LOCATION • This role may be based in Tampa, FL, Atlanta, GA, or Remote - US, subject to company eligibility requirements. #LI-RT1 The salary range represents base pay only and does not include short-term or long-term incentive compensation. When determining base pay as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $130,000-$160,000 USD