Director, AI-Driven Analytics Engineering

GitLab Inc.

United States, Northern America, Americas

Hybrid

USD 180,000 - 240,000

Full time

3 days ago
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Job summary

GitLab is seeking a Director, Analytics Engineering to lead a team of 8 and partner with senior leaders. You will shape data strategy, build AI-ready data platforms, and enable trusted self-service analytics across the company.

You'll own semantic modeling, data governance, and enterprise BI tools, driving cost-effective AI data access and scalable data products. This role requires strong leadership and hands-on expertise in dbt, Snowflake, and SQL.

Qualifications

  • 12+ years in analytics engineering, data engineering, or BI, incl. 5+ years leading teams
  • Deep expertise in data modeling and semantic layers (dbt Semantic Layer, Snowflake semantic views, LookML, Cube)
  • Hands-on experience building LLM-powered data access, incl. evals and telemetry
  • Expert SQL and strong Snowflake experience; working knowledge of Python
  • Strong data governance: data quality, lineage, access controls
  • Track record of leading cross-functional data initiatives from strategy to adoption
  • Systems thinker who designs for second-order effects and scalable data products

Responsibilities

  • Build and own a trusted semantic model with governed metrics across tools
  • Develop evals and ground-truth datasets to measure answer quality
  • Instrument telemetry to see how semantic models and AI tools are used
  • Build a model-selection harness to route work across LLMs and control costs
  • Own data modeling and curated datasets for self-service with governance
  • Define AI data access strategy for BI, Claude, MCP servers, or Slack agents
  • Own enterprise BI and self-service tools strategy (Tableau, Omni)
  • Build self-service capabilities like Claude skills and guided workflows
  • Create data apps combining Snowflake data, APIs, and AI with write-back
  • Set engineering standards for data apps: security, testing, deployment, monitoring
  • Set a long-range roadmap aligned with company strategy
  • Hire and coach a high-performing team of 8 and recognize great work
  • Act as customer zero for GitLab and GitLab Duo in data workflows

Skills

Analytics engineering
Data modeling
Semantic layer
dbt Semantic Layer
Snowflake
SQL
Python
AI data access

Tools

Snowflake
dbt
LookML
Tableau
Omni
API integration
Slack agents

Job description

GitLab is seeking a Director, Analytics Engineering to lead a team of 8 and partner with senior leaders. You will shape data strategy, build AI-ready data platforms, and enable trusted self-service analytics across the company.

You'll own semantic modeling, data governance, and enterprise BI tools, driving cost-effective AI data access and scalable data products. This role requires strong leadership and hands-on expertise in dbt, Snowflake, and SQL.

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