VP of Data and AI

Responsibilities:

• Define and drive the long-term roadmap for our data ecosystem, covering ingestion, modeling, governance, observability, and BI.
• Establish and enforce data governance: semantic consistency, naming conventions, data contracts, PII handling, lineage, and access controls.
• Drive performance and cost optimization across Snowflake, transformations, ingestion workflows, and BI workloads.

Requirements:

• 10+ years across data engineering, analytics engineering, ML infrastructure, or related fields; 3–5+ years in leadership.
• Proven experience scaling Snowflake and DBT in production.
• Strong background with SQL Server ingestion patterns, cloud-storage pipelines, and SaaS data integrations.