Data Cloud Vice President

New

Skills

AI-native Capabilities Airflow Cloud-scale Data Platforms Data Cloud Architecture Data Governance dbt Engineering Organization Scaling Machine Learning Pipelines Real-time Data Processing Spark

The Vice President of Data Cloud will be responsible for architecting and delivering a unified Data Cloud platform that encompasses ingestion, storage, processing, and governance. This role requires leadership in AI-native capabilities, including retrieval-augmented generation (RAG), vector retrieval, embeddings, and real-time paths.

Key Responsibilities
  • Define and drive the strategy to advance to an AI application and inference platform.
  • Ensure clear ownership and measurable outcomes across the roadmap, adoption, and reliability.
  • Build and scale a global organization across the US and India with single-threaded ownership across services.
  • Launch a cohesive Data Cloud with AI workloads to reduce development time-to-value.
  • Make architectural judgments across storage, processing, and query layers.
Required Skills & Qualifications
  • Experience with cloud-scale data platforms (OLAP, lakehouse, streaming, ML).
  • Proficiency in integrating tools such as Spark, Airflow, and dbt into managed cloud services.
  • Expertise in AI/ML data pipelines including feature stores and embeddings.
  • Ability to operate in ambiguity and drive multi-quarter execution.
  • Proven track record of scaling engineering organizations and delivering under constraints.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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