Senior Product Manager, Data

About This Role

As a Senior Product Manager, Data, you will drive the strategy and roadmap for CoreWeave's Enterprise Data Platform, integrating data from various organizational sources. This role involves enhancing data infrastructure, governance, and analytics capabilities to enable data-driven insights.

Responsibilities

• Help drive data ingestion, transformation, governance, and analytics enablement within the CIO organization.
• Collaborate with engineering, analytics, finance, and business teams to deliver data lake and pipeline orchestration solutions.
• Own and evangelize Data Platform and Business Analytics roadmap and strategy across CoreWeave.
• Assist with the execution of CoreWeave’s enterprise data architecture to enable data lake and domain-driven data layers.
• Support the development and enhancement of data ingestion, transformation, and orchestration pipelines for scalability, efficiency, and reliability.
• Work with Engineering and Data teams to maintain and enhance data pipelines for structured and unstructured data.
• Collaborate with Finance, GTM, Infrastructure, Data Center, and Supply Chain teams to unify and model data from core systems (ERP, CRM, Asset Mgmt, Supply Chain systems).
• 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.
• Remain informed of emerging data technologies and recommend appropriate tools and frameworks for improved data management.

Requirements

• 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

Qualifications

• 5+ years of experience in data product management, data architecture, or enterprise data engineering roles.

Nice to Have

• Curiosity about AI developer tooling and infrastructure
• Strong problem-solving skills with a proactive and analytical mindset
• Excellent communication skills and demonstrated ability to work collaboratively in a fast-paced environment

Skills

* Required skills

Benefits