Director, Analytics Engineering

GitLab is seeking a Director, Analytics Engineering to lead a team of 8 and report to the VP of Data & Insights. The successful candidate will have three main mandates:

• Build trusted, AI-ready self-service capabilities.
• Set the strategy for how GitLab accesses data.
• Build data applications that the whole company relies on.

Responsibilities include:

• Building and owning a trusted semantic model with governed metrics and business definitions.
• Developing evals and ground-truth datasets to measure answer quality.
• Instrumenting telemetry to monitor usage of the semantic model and AI tools.
• Building a model-selection harness for flexible cost and quality management.
• Defining the AI data access strategy and owning data modeling and curated datasets.
• Setting engineering standards for data applications and leading a high-performing team.

Requirements:

• 12+ years in analytics engineering, data engineering, or BI.
• Deep expertise in data modeling and semantic layers.
• Hands-on experience with LLM-powered data access and advanced use of AI coding agents.
• Expert SQL and strong Snowflake experience.
• Strong data governance experience.
• Track record of leading cross-functional data initiatives.

Nice to Have:

• Experience with LLM routing or gateway tools.
• Experience with Tableau, Omni, or a BI platform migration.
• Experience with web app development and Postgres.

The base salary range for this role is $139,200-$285,600 USD.

Benefits include:

• Health, financial, and well-being support.
• Flexible Paid Time Off.
• Team Member Resource Groups.
• Equity Compensation & Employee Stock Purchase Plan.
• Growth and Development Fund.
• Parental Leave.