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LeadRemoteRemote, United States

Director, Analytics Engineering

G
GitLab
Уровень
Lead
Формат
Remote
О роли

Описание вакансии

About the company

GitLab is the intelligent orchestration platform for DevSecOps. More than 50 million registered users and more than 50% of the Fortune 100 trust GitLab to ship better, more secure software faster.

Responsibilities

  • Build and own a trusted semantic model, with governed metrics and business definitions, that answers business questions consistently across every tool
  • Build evals and ground-truth datasets that measure answer quality, and use them to drive improvements and catch regressions
  • Instrument telemetry to see who uses the semantic model and AI tools, what they ask, and where they get stuck
  • Build a model-selection harness so GitLab can route work across LLMs and stay flexible on cost and quality
  • Own data modeling and curated datasets for self-service, with the ownership, data contracts, testing, and documentation that make them AI-ready
  • Define the AI data access strategy: when to use BI, Claude, MCP servers, or Slack agents, with the governance and security to keep access trusted and reliable
  • Own the enterprise BI and self-service tools strategy (e.g., Tableau, Omni), including evaluation, adoption, and cost
  • Build and own company-wide data applications, from Claude-built single-page apps to apps inside BI tools
  • Set engineering standards for data apps (security, authentication, testing, deployment, and monitoring)
  • Set a long-range roadmap tied to company strategy
  • Hire, coach, and retain a high-performing team of 8

Requirements

  • 12+ years in analytics engineering, data engineering, or BI, including 5+ years leading teams and 2+ years managing managers or senior leads
  • Deep expertise in data modeling and semantic layers (e.g., dbt Semantic Layer, Snowflake semantic views, LookML, Cube), and expert dbt, including testing and CI/CD across a multi-team project
  • Hands-on experience building LLM-powered data access (text-to-SQL, agents, MCP servers), including evals and telemetry for answer quality, and advanced use of AI coding agents such as Claude Code
  • Expert SQL and strong Snowflake experience; working knowledge of Python
  • Strong data governance experience: data quality, lineage, certified datasets, and access controls (RBAC, row access and masking policies)
  • Track record of leading cross-functional data initiatives from strategy through adoption and measurable business impact
  • Exceptional communicator who writes clear technical specs, sets a clear vision, makes trade-offs visible, and influences executives and peers
  • Able to use GitLab, thrive in an all-remote, asynchronous company

Nice to Have

  • Experience with LLM routing or gateway tools and managing model costs
  • Experience with Tableau, Omni, or a BI platform migration
  • Experience with web app development (e.g., React, TypeScript) and Postgres
  • Experience owning finance or revenue data
Стек и навыки

С чем работаем