Director, Analytics Engineering

What you'll do

• Build and own a trusted semantic model with governed metrics and business definitions.
• Develop evals and ground-truth datasets to measure and improve AI answer quality.
• Define the AI data access strategy for BI tools, Claude, MCP servers, and Slack agents.
• Own the enterprise BI and self-service tools strategy, including evaluation and cost management.
• Build and ship production-grade data applications that combine Snowflake data, APIs, and AI.
• Set engineering standards for data applications regarding security, authentication, testing, and deployment.
• Create a long-range roadmap that balances stakeholder needs with tech-debt reduction and reusable products.
• Hire, coach, and lead a high-performing team of eight analytics engineers.

What we're looking for

• 12+ years in analytics engineering, data engineering, or BI.
• 5+ years leading teams and 2+ years managing managers or senior leads.
• Deep expertise in data modeling, semantic layers, and expert dbt skills including testing and CI/CD.
• Hands-on experience building LLM-powered data access, evals, telemetry, and using AI coding agents like Claude Code.
• Expert SQL and strong Snowflake experience with working knowledge of Python.
• Strong data governance experience including data quality, lineage, certified datasets, and access controls.
• Track record of leading cross-functional data initiatives from strategy through adoption and measurable business impact.
• Experience with LLM routing, BI platform migrations, web app development (React, TypeScript), or owning finance-critical data (preferred).