GitLab18.04.2026
Vice President, Data & Insights
Remote
Обязанности
- 01Define and execute a multi-year strategy for GitLab's data platform, prioritizing certified datasets, clean schema architecture, and the infrastructure needed to support AI-native consumption and self-service access across the enterprise.
- 02Lead the transformation from analyst-dependent reporting toward AI-powered self-service models, enabling business stakeholders to perform analysis and access insights independently while freeing the data team to focus on deeper strategic work.
- 03Oversee the architecture and evolution of GitLab's data engineering foundations, ensuring the team moves beyond reactive pipeline work toward scalable, AI-ready infrastructure that business functions can confidently build on.
- 04Drive analytics engineering practices that produce governed, well-documented, and reusable data models. Champion the shift from ad hoc dashboard production to curated data products that serve as a single source of truth.
- 05Build deep expertise in GitLab's consumption and usage-based business model, ensuring the data organization can surface the metrics, trends, and signals that matter most to Revenue, Finance, and Product stakeholders.
- 06Establish and maintain enterprise-wide data governance frameworks, including data quality standards, access policies, lineage documentation, and accountability structures that instill trust in GitLab's data assets.
- 07Serve as a strategic thought partner to leaders across Sales, Finance, Product, and People, translating complex data questions into scalable answers. Build strong relationships across the e-group while ensuring the data team earns appropriate recognition for its contributions.
- 08Inspire and develop a high-performing distributed team across data platform, analytics engineering, governance, and analyst functions. Foster async-first culture, set clear expectations, and build a team that is proactive, strategic, and deeply engaged with the business.
- 09Stay ahead of the curve on evolving data tooling, AI agents, and vibe-coded or curated analytics applications. Identify where emerging approaches can accelerate GitLab's data maturity and bring a point of view on what the future of data consumption looks like at scale.
- 10Report to the CIO and oversee a distributed team spanning data platform and engineering, analytics engineering, data governance, and data analysts embedded across business functions.
- 11Act as a trusted advisor to the executive team and a key driver of GitLab's AI journey, building the certified data foundations that power intelligent, consumption-aware decisions across the business.
Требования
- 0112+ years of progressive data leadership experience, with 5+ years managing multi-functional data teams at high-growth SaaS companies
- 02Deep expertise in modern data platform architecture, including experience with database schemas, certified datasets, and the tooling and practices that enable AI-ready data infrastructure
- 03Proven track record driving self-service analytics transformation, moving organizations away from analyst bottlenecks toward scalable, AI-enabled data consumption models
- 04Strong understanding of consumption and usage-based business models and the data complexity they introduce, including usage tracking, metered billing, and the metrics that drive recurring revenue businesses
- 05Experience leading analytics engineering functions, including dbt, semantic layers, or similar approaches to building governed, reusable data models at scale
- 06Demonstrated ability to partner with and influence C-level and VP-level stakeholders across Sales, Finance, Product, and People functions, with strong executive presence and business acumen
- 07Track record of developing and retaining high-performing distributed teams in fully remote, async-first environments
- 08Strategic thinker with an unconventional point of view on where data and analytics can drive business impact
Условия
- 01Fully remote, async-first work environment