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CoreWeave · 2 weeks ago

Senior Manager, Supply Chain Data Analytics & Governance

Livingston, NJ

Full-time

Hybrid

Senior Level, Lead/Staff

$161K/yr - $237K/yr

8+ years exp

CoreWeave is The Essential Cloud for AI™, providing a platform for innovators to build and scale AI. The Senior Manager, Supply Chain Data, Analytics, and Governance will own the data vision and operating model for Supply Chain and Data Center Operations, focusing on the creation and governance of critical master data and analytics.

AI InfrastructureArtificial Intelligence (AI)Cloud ComputingCloud InfrastructureInformation TechnologyMachine Learning

No H1B

U.S. Citizen Only

Responsibilities

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

Qualification

Master Data ManagementData GovernanceData AnalyticsData ScienceAI SolutionsSQLCloud Data StacksData ModelingCuriosityTeam ManagementCollaborationProblem Solving

Required

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

Preferred

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., StarRocks, Snowflake, BigQuery, 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 StarRocks, Postgres, Fivetran, and dbt in a production environment

Relevant professional certifications (e.g., APICS/ASCM, cloud/data certifications, dbt, SnowPro, etc.)