Director, Analytics Engineering
Core
Lead a team of 8 to build trusted, AI-ready self-service data models, semantic layers, and production-grade data applications for the entire company.
Role type
Director, Analytics Engineering
Builds
Semantic models, AI data access patterns (LLMs, agents), enterprise BI tools, and company-wide data applications
Domain
SaaS / DevSecOps / Data & AI
Deliverable
production ML models
Required skills
Data modeling, semantic layers, dbt, SQL, Snowflake, LLM-powered data access, data governance, team leadership, strategic planning
Preferred skills
LLM routing/gateway tools, BI platform migration, web app development, finance/revenue data ownership
Technologies
dbt, Snowflake, Tableau, Omni, Claude, MCP servers, Postgres, React, TypeScript
Responsibilities
Build and own trusted semantic models with governed metrics; build evals and ground-truth datasets; instrument telemetry for AI tools; define AI data access strategy; own enterprise BI and self-service tools strategy; build company-wide data applications; set engineering standards for data apps; hire and coach a team of 8; act as customer zero for data workflows
Seniority
Director, hands-on IC with people management
