Director Analytics Engineering Ai Data
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As Director, Analytics Engineering, you will lead eight team members and report to the VP of Data & Insights. You will set data organization direction while guiding technical decisions and partnering with Data Engineering, Data Science, IT, and business leaders. The work spans semantic models, LLM-powered data access, BI strategy, and production data applications.
Key Responsibilities
Own governed semantic models and consistent business definitionsBuild evals, datasets, and telemetry for answer qualityDefine AI data access, BI, and self-service strategiesBuild production data applications combining Snowflake, APIs, and AIHire, coach, and retain a high-performing team of eightRequirements:
12+ years in analytics engineering, data engineering, or BI5+ years leading teams and 2+ managing managers or senior leadsExpert dbt, SQL, Snowflake, and data modeling expertiseExperience building LLM-powered data access with evalsAbility to thrive in GitLab's all-remote asynchronous companyShape GitLab's AI-ready data foundation through analytics engineering leadership, semantic modeling, Snowflake, and trusted self-service.
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