Senior Product Manager, Data

What You’ll Do:

This role sits within the CIO organization and supports the development of CoreWeave’s Enterprise Data Platform, integrating data from key sources across Operations, Engineering, Sales, Finance, and other IT partners.

We are seeking a Data Product Manager to support the development of CoreWeave’s Enterprise Data Platform within the CIO organization. This role will contribute to building a scalable, high-performance data lake and data architecture, integrating data from key sources across Operations, Engineering, Sales, Finance, and other IT partners.

About the Role:

• As a Data Product Manager for Data Infrastructure and Analytics, you will help drive data ingestion, transformation, governance, and analytics enablement. You will collaborate with engineering, analytics, finance, and business teams to help deliver data lake and pipeline orchestration solutions, ensuring accessible data for business insights.
• Own and evangelize Data Platform and Business Analytics roadmap and strategy across CoreWeave
• Assist with the execution of CoreWeave’s enterprise data architecture, helping enable the data lake and domain-driven data layer.
• Support the development and enhancement of data ingestion, transformation, and orchestration pipelines for scalability, efficiency, and reliability.
• Work with the Engineering and Data teams to maintain and enhance data pipelines for both structured and unstructured data, enabling efficient data movement across the organization.
• Collaborate with Finance, GTM, Infrastructure, Data Center, and Supply Chain teams to help unify and model data from core systems (ERP, CRM, Asset Mgmt, Supply Chain systems, etc.).
• Contribute to data governance and quality initiatives, focusing on data consistency, lineage tracking, and compliance with security standards.
• Support the BI and analytics layer by partnering with stakeholders to enable data products, dashboards, and reporting capabilities.
• Help prioritize data-driven initiatives, ensuring alignment with business goals and operational needs in coordination with leadership.
• Remain informed of emerging data technologies and recommend tools and frameworks for improved data management as appropriate.

Who You Are:

• 5+ years of experience in data product management, data architecture, or enterprise data engineering roles.
• Familiarity with data lakes, data warehouses, ETL/ELT and streaming pipelines, and data governance frameworks.
• Hands-on experience with modern data stack technologies (such as Snowflake, BigQuery, Databricks, Apache Spark, Airflow, DBT, Kafka).
• Understanding of data modeling, domain-driven design, and creating scalable data platforms.
• Experience supporting the end-to-end data product lifecycle, including requirements gathering and implementation.
• Strong collaboration skills with engineering, analytics, and business teams to help deliver data initiatives.
• Awareness of data security, compliance, and governance best practices.
• Understanding of BI and analytics platforms (such as Tableau, Looker, Power BI) and supporting self-service analytics.

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