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Senior Product Manager, Data Infrastructure and Analytics

Posted 1 day agoViewed

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💎 Seniority level: Senior, 8+ years

💸 Salary: 160000.0 - 190000.0 USD per year

🔍 Industry: Data Infrastructure and Analytics

🏢 Company: CoreWeave💰 $642,000,000 Secondary Market over 1 year agoCloud ComputingMachine LearningInformation TechnologyCloud Infrastructure

⏳ Experience: 8+ years

Requirements:
  • 8+ years of experience in data product management, data architecture, or enterprise data engineering roles.
  • Strong expertise in data lakes, data warehouses, ETL/ELT pipelines, and data governance frameworks.
  • Experience with modern data stack technologies (e.g., Snowflake, BigQuery, Databricks, Apache Spark, Airflow, DBT, Kafka).
  • Deep understanding of data modeling, domain-driven design, and building scalable, resilient data platforms.
  • Proven track record of managing end-to-end data product lifecycle, from requirements gathering to execution and adoption.
  • Strong collaboration skills with engineering, analytics, and business stakeholders to drive data initiatives.
  • Experience with data security, compliance, and governance best practices.
  • Knowledge of BI and analytics platforms (e.g., Tableau, Looker, Power BI) and enabling self-service analytics.
Responsibilities:
  • Define and execute CoreWeave’s enterprise data architecture strategy, enabling a robust data lake and domain-driven data layer.
  • Lead the development of data ingestion, transformation, and orchestration pipelines, ensuring scalability, efficiency, and high availability.
  • Partner with Engineering and Data teams to build and optimize data pipelines for structured and unstructured data, enabling reliable data movement across the organization.
  • Work closely with Finance, GTM, Infrastructure, Data Center, and Supply Chain teams to unify and model data from authoritative systems of record (ERP, CRM, Asset Mgmt, Supply Chain systems, etc.).
  • Drive data governance and quality initiatives, ensuring data consistency, lineage tracking, and adherence to security and compliance requirements.
  • Enable a high-performance BI and analytics layer, working with stakeholders to build data products, dashboards, and reporting capabilities.
  • Collaborate with leadership to prioritize data-driven initiatives, aligning with business goals and operational efficiencies.
  • Stay ahead of emerging data technologies, ensuring CoreWeave adopts best-in-class tools and frameworks for data management
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