Director Data Products And Analytics

Build GitLab data products with semantic layers, enterprise BI, and AI access patterns while leading eight analytics engineering professionals. Work remotely and asynchronously across the company.This director-level role owns how GitLab finds, understands, and uses trusted data. You will guide curated datasets, self-service tools, data applications, and governance while partnering with Data Engineering, Data Science, IT, Product, Engineering, and business leaders. Your work connects strategy, adoption, measurable impact, and technical standards.Key Responsibilities:
Set roadmaps for reusable data products and technical debt reductionOwn enterprise BI tools, evaluation, adoption, and costCreate curated datasets, contracts, testing, and documentationSet security, authentication, testing, deployment, and monitoring standardsShare customer-zero feedback on GitLab and GitLab DuoRequirements:
Track record leading cross-functional data initiatives through adoptionDeep semantic-layer and data-modeling expertiseStrong governance experience with quality, lineage, and access controlsExceptional technical communication and executive influenceWorking knowledge of Python and expert SQLLead GitLab's analytics engineering organization in delivering governed BI, self-service tools, and reliable company-wide data applications.
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