Principal Product Manager, Enterprise Data Products & AI
New
F
FanaticsSupply chain technology
This role may be based in Atlanta, GA or Remote - US, subject to company eligibility requirements.Full-TimePrincipal
Salary not disclosed
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Job Details
- Experience
- 6 –10 years of product management experience
- Required Skills
- SQLProduct ManagementSnowflake
Requirements
- Have 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.
- Demonstrate ownership of product vision, strategy, roadmap, prioritization, launch, adoption, and continuous improvement across complex cross-functional programs.
- Have experience treating enterprise data as a product, including defining consumers, SLAs, contracts, quality dimensions, success metrics, and evolution roadmaps.
- Have experience defining or owning semantic layers, business glossaries, canonical models, KPI frameworks, or ontology standards across multiple business domains.
- Bring experience incorporating AI into product strategy and familiarity with LLM-powered analytics, conversational interfaces, AI agents, or prompt engineering.
- Understand data AI-readiness, including semantic context, metadata, documentation, lineage, quality certification, and validation.
- Have working familiarity with at least two supply chain domains, such as inventory management, order management, sourcing, warehouse operations, fulfillment, logistics, manufacturing, or vendor management.
- Bring strong technical acumen, including SQL proficiency and working knowledge of data warehouses, dimensional modeling, semantic modeling, ETL/ELT patterns, APIs, and event-driven data flows.
- Have familiarity with cloud data platforms; Snowflake is preferred. Experience partnering with data engineering teams using Snowflake, Databricks, MicroStrategy, Tableau, or Power BI is relevant.
- Demonstrate experience building consensus across Product, Engineering, Analytics, Architecture, and business teams, and presenting strategy, roadmaps, risks, trade-offs, and recommendations to senior or executive audiences.
- Have experience as a senior individual contributor operating autonomously and influencing without direct authority across competing priorities.
- Hold a bachelor's degree in Computer Science, Information Systems, Business, or a related field; an advanced degree is a plus but not required.
- Be able to travel for onboarding, partner meetings, team sessions, and other business needs.
Responsibilities
- Own the vision, strategy, and roadmap for enterprise supply chain data products and the semantic layer.
- Align enterprise data product strategy with ERP and supply chain transformation, managing cross-functional dependencies and coherent roadmaps.
- Define how Supply Chain and Operations stakeholders use data, evolving BI toward self-service, conversational analytics, operational briefings, and AI-enabled experiences.
- Partner with business teams to align BI capabilities with their processes and decisions, measuring adoption, decision quality, operational efficiency, and business impact.
- Make enterprise supply chain data AI-ready through semantic enrichment, metadata standards, contextualization, quality certification, and governance.
- Partner with engineering to productize and scale AI capabilities and agentic workflows, including governance, validation, and feedback mechanisms.
- Drive consistent definitions and calculation methods for enterprise metrics such as OTIF, inventory turns, cost of goods, and fill rates.
- Define and govern a portfolio of enterprise supply chain data products, with documented consumers, SLAs, and evolution roadmaps.
- Own the data contract model and partner with engineering on observable data pipelines with quality checks, anomaly detection, and certification.
- Translate business problems into product requirements, epics, success metrics, and outcomes; communicate priorities, risks, and trade-offs to senior stakeholders.
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