VP of Data and AI

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

Define and drive the long-term roadmap for our data ecosystem Own and evolve our existing Debezium-based CDC infrastructure Oversee ingestion from SQL Server and cloud storage Build and lead a best-in-class team across Data Engineering, Analytics Engineering, and future Data Science/ML Engineering Partner with Risk to deliver reproducible training-ready datasets Architect data foundations that support ML and AI workloads Establish and enforce data governance Drive performance and cost optimization across Snowflake, transformations, ingestion workflows, and BI workloads Ensure the BI layer is reliable, governed, and trustable Set technical standards, mentor team members, and create a culture of high-quality, testable, maintainable data work