Vice President, Data & Insights

🕒 April 20

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GitLab

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2014

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

💰 Secondary Market on 2020-11

Consulting • Marketing • Artificial Intelligence

GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant™ for DevOps Platforms, making it a preferred choice for many enterprises.

📋 Description

• Define and execute a multi-year strategy for GitLab's data platform • Lead the transformation from analyst-dependent reporting toward AI-powered self-service models • Oversee the architecture and evolution of GitLab's data engineering foundations • Drive analytics engineering practices that produce governed, well-documented, and reusable data models • Build deep expertise in GitLab's consumption and usage-based business model • Establish and maintain enterprise-wide data governance frameworks • Serve as a strategic thought partner to leaders across Sales, Finance, Product, and People • Inspire and develop a high-performing distributed team across data platform, analytics engineering, governance, and analyst functions • Stay ahead of the curve on evolving data tooling, AI agents, and curated analytics applications

🎯 Requirements

• 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 • 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, including usage tracking, metered billing, and the metrics that drive recurring revenue businesses • Experience leading analytics engineering functions, including dbt, semantic layers, or similar approaches to building governed, reusable data models at scale • Demonstrated 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 • Track record of developing and retaining high-performing distributed teams in fully remote, async-first environments • Strategic thinker with an unconventional point of view on where data and AI are heading, and the technical depth to distinguish signal from noise when evaluating new approaches

🏖️ Benefits

• Benefits to support your health, finances, and well-being • Flexible Paid Time Off • Team Member Resource Groups • Equity Compensation & Employee Stock Purchase Plan • Growth and Development Fund • Parental leave • Home office support