Director, Revenue Analytics

GitLab is seeking a Director, Revenue Analytics to lead a high-performing team of analytics professionals and own the strategic vision and execution for sales and customer experience data and analytics across GitLab.

As Director, Revenue Analytics, you'll lead a team building insights via AI tooling and solutions along with legacy BI solutions. You'll partner closely with Sales Strategy, Customer Success, Professional Services, Revenue Operations, Marketing, Finance, and Enterprise Data & Analytics to deliver insights that drive business outcomes.

Key responsibilities:

• Lead and develop the Revenue Analytics team, setting analytics standards and building scalable capabilities to support GitLab's growth.
• Support AI self-serve initiatives within the Field through certified data sets, coordination with Ent Data on semantic layers and metric definitions.
• Own the analytics roadmap across sales, customer success, and professional services to improve sales productivity, retention, services utilization, and revenue performance.
• Develop and support forecasting, pipeline, capacity, and predictive models to improve forecast accuracy, conversion, velocity, resource allocation, and revenue planning.
• Build customer lifecycle analytics for onboarding, product adoption, engagement, churn risk, expansion, NRR, and GRR to improve customer outcomes.

Requirements:

• Experience leading analytics teams and developing team members in sales, customer, revenue operations, business intelligence, or consulting environments.
• Knowledge of business-to-business software-as-a-service business models, sales processes, and revenue metrics across the customer lifecycle.
• Experience with consumption-based metrics and business models.
• Ability to develop strategic analytics roadmaps, translate complex data into clear insights, and influence executive-level decisions.
• Advanced proficiency with AI tools (Claude, OpenAI, Gemini), Business Intelligence tools (Tableau, Hex, Omni), Structured Query Language (SQL), data modeling, statistical analysis, and predictive modeling for customer analytics.

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