Senior Manager, Supply Chain Data Analytics & Governance

Senior Manager, Supply Chain Data Analytics & Governance

Core Weave is The Essential Cloud for AI™. Built for pioneers by pioneers, Core Weave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, Core Weave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, Core Weave became a publicly traded company (Nasdaq: CRWV) in March 2025.

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The Supply Chain Strategy & Transformation (SCST) team is responsible for designing and scaling the operating model for how Core Weave plans, sources, builds, and delivers data center capacity for our customers. We partner closely with Supply Chain, Product Engineering, Data Center Operations, and the Enterprise Engineering teams to turn strategy into execution and measurable impact.

We are building a dedicated Supply Chain Data, Analytics, and Governance function within SCST to own the data, analytics, and AI portfolio for Plan, Source, Build, Deliver, Sustain, and to define how Master Data is created, governed, and used across the network.

• Set and maintain the supply chain data strategy and roadmap across MDM, analytics, data science, and AI agents.
• Design and run the supply‑chain data and master‑data governance model, including standards, stewardship, and issue management.
• Collaborate with the Data & AI team in IT on ingestion, modeling, and tooling so that supply chain data is clean, well‑modeled, and easy to use.
• Identify and deliver high‑value analytics and AI/agent use cases that improve visibility, decision speed, and predictability across the supply chain.

• Significant experience owning master data and data governance for at least one major domain (e.g., parts/SKUs, suppliers, locations, BoMs), including standards, stewardship processes, and data‑quality metrics.
• 8–10+ years in data, analytics, or data science roles, including 4–5+ years working with supply chain, operations, manufacturing, or other complex networked systems.
• 3+ years managing multi‑disciplinary data teams (e.g., data engineers, analysts, data scientists, or similar) in a product, platform, or analytics context.
• Proven track record of defining and executing a data/analytics strategy for a business function including roadmap definition, prioritization, and delivery of measurable business outcomes.
• Experience partnering with a central IT / Data & AI organization on ingestion, transformation, and modeling, and helping avoid redundant transformation layers and fragmented schemas.
• Familiarity with delivering machine learning and/or AI‑powered solutions (e.g., forecasting, optimization, anomaly detection, LLM/agent‑based workflows) into production environments with appropriate controls and monitoring.

• Strong SQL skills (ideally with experience on Postgres or similar) and fluency in at least one analytics programming language (e.g., Python); comfortable reviewing technical designs and occasionally rolling up your sleeves.
• Experience with modern cloud data stacks, including:
  • Columnar analytical databases or data lakes (e.g., Star Rocks, Snowflake, Big Query, Redshift, or similar).
  • ELT tools and patterns (e.g., Fivetran or similar) and transformation frameworks such as dbt.
• Experience in cloud infrastructure, data centers, hardware/semiconductor, or other complex, capital‑intensive supply chains.
• Hands‑on experience with PLM/PDM and/or MDM platforms and their data models.
• Familiarity with supply chain planning or execution systems (e.g., ERP, MRP, S2P, WMS/TMS, or advanced planning tools).
• Direct experience with Star Rocks, Postgres, Fivetran, and dbt in a production environment.
• Relevant professional certifications (e.g., APICS/ASCM, cloud/data certifications, dbt, Snow Pro, etc.).

At Core Weave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper‑growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how…