VP Data Strategy

New

Skills

AI Models Data Architecture Data Engineering Data Governance Data Strategy Data Warehousing Historical Data Pipelines Machine Learning Real-time Data Pipelines Streaming Architectures

The VP of Data will own the long-term data strategy and end-to-end architecture for a B2B2C marketplace. This role will focus on building and scaling a canonical data engine while enabling faster decisions through real-time and historical data pipelines. The successful candidate will lead a high-performing data engineering organization and collaborate closely with Product, Engineering, Finance, and Executive Leadership.

Key Responsibilities
  • Own the long-term data strategy and architecture.
  • Build and scale the canonical data engine for a B2B2C marketplace.
  • Enable faster decision-making with real-time and historical data pipelines.
  • Lead a high-performing data engineering team.
  • Collaborate with Product, Engineering, Finance, and Executive Leadership.
  • Champion ML/AI initiatives and AI agent models.
Requirements & Qualifications
  • 10+ years in data engineering or data platform leadership at a VP level.
  • Proven ownership of data systems tied to revenue, billing, or financial outcomes.
  • Deep expertise in batch and streaming architectures, data warehouses, and modeling.
  • Strong understanding of data quality, lineage, observability, and governance.
  • Experience with data lifecycles in ML models, including supervised learning and LLM.
  • Background in affiliate marketing, marketplaces, fintech, or revenue-rich environments.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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