Senior Manager, Supply Chain Data Analytics & Governance

What Youll Do:

The Supply Chain Strategy & Transformation (SCST) team is responsible for designing and scaling the operating model for how CoreWeave 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.

About the Role:

As the Senior Manager Supply Chain Data Analytics and Governance you will own the data vision and operating model for Supply Chain and Data Center Operations. Youll define how critical master data (e.g. parts locations suppliers) is created and governed partner closely with the central Data & AI organization on platforms and pipelines and prioritize analytics data science and AI agent work that makes it easy for teams to run and improve the business. Youll shape a hub-and-spoke governance model that balances strong guardrails with pragmatic self-service for Plan Source Make/Build and Deliver teams. This role reports into the Senior Director Supply Chain Strategy & Transformation and is based out of Sunnyvale CA or another CoreWeave hub (Sunnyvale strongly preferred with flexibility for other hubs).

In This Role You Will:

• 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.

Who You Are:

• 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.
• 810 years in data analytics or data science roles including 45 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.).

Wondering if youre a good fit We believe in investing in our people and value candidates who can bring their own diversified experiences to our teams even if you arent a 100% skill or experience match. Here are a few qualities weve found compatible with our team. If some of this describes you wed love to talk.

• You love turning fragmented messy operational data into clean trusted data products that business teams actually use.
• Youre curious about how physical supply chains and data centers really work end-to-end and enjoy spending time with planners sourcers builders and operators.
• Youre an expert in designing governance models and stewardship processes that scale and you know how to keep them lightweight enough that people actually follow them.
• Youre excited to apply analytics data science and AI/agents in pragmatic ways that reduce firefighting and make supply chain decisions more proactive and data-driven.

Why CoreWeave

At CoreWeave we work hard have fun and move fast! Were in an exciting stage of hyper-growth that you will not want to miss out on. Were not afraid of a little chaos and were constantly learning. Our team cares deeply about how we build our product and how we work together which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry who will want to learn from you too. Come join us!

The base salary range for this role is $161000 to $237000. The starting salary will be determined based on job-related knowledge skills experience and market location. We strive for both market alignment and internal equity when determining addition to base salary our total rewards package includes a discretionary bonus equity awards and a comprehensive benefits program (all based on eligibility).