Vice President, Data & Insights

ABOUT THE ROLE GitLab is the intelligent orchestration platform for DevSecOps. We enable organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. With more than 50 million registered users and over 50% of the Fortune 100 trusting us to ship better, more secure software faster, we're a leader in the software development industry. We're a company that values innovation, collaboration, and continuous knowledge exchange. Our high-performance culture is driven by our values and enables our team members to reach their full potential while working with industry leaders to solve complex problems. We're looking for a talented individual to join our team and help us build technology that transforms how the world develops software. WHAT YOU'LL DO As the VP of Data and Insights, you'll lead the strategic vision, architecture, and execution of our enterprise data platform and analytics capabilities. You'll oversee a distributed team spanning data platform and engineering, analytics engineering, data governance, and data analysts embedded across business functions. Your primary responsibilities will include: - Defining and executing 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. - Leading the transformation from analyst-dependent reporting toward AI-powered self-service models, enabling business stakeholders to perform analysis and access insights independently. - Overseeing the architecture and evolution of GitLab's data engineering foundations, ensuring the team moves beyond reactive pipeline work toward scalable, AI-ready infrastructure. - Driving analytics engineering practices that produce governed, well-documented, and reusable data models. - Building 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. - Establishing and maintaining enterprise-wide data governance frameworks, including data quality standards, access policies, lineage documentation, and accountability structures. - Serving as a strategic thought partner to leaders across Sales, Finance, Product, and People, translating complex data questions into scalable answers. - Inspiring and developing a high-performing distributed team across data platform, analytics engineering, governance, and analyst functions. - Staying ahead of the curve on evolving data tooling, AI agents, and vibe-coded or curated analytics applications. WHAT YOU'LL NEED To be successful in this role, you'll need: - 12+ years of progressive data leadership experience, with 5+ years managing multi-functional data teams at high-growth SaaS companies. - Deep expertise in modern data platform architecture, including experience with database schemas, certified datasets, and the tooling and practices that enable AI-ready data infrastructure. - A proven track record driving self-service analytics transformation, moving organizations away from analyst bottlenecks toward scalable, AI-enabled data consumption models. - Strong understanding of consumption and usage-based business models and the data complexity they introduce. - Experience leading analytics engineering functions and driving the adoption of emerging technologies. WHY REMOTE As a remote-first company, we're committed to providing a flexible and collaborative work environment that allows our team members to thrive. We're looking for someone who is self-motivated, proactive,