Remote AI-Driven Revenue Analytics Director

GitLab; United States; Remote; USD 203,000 - 346,000; Full time

Benefits offered by this job

Flexible Paid Time Off

Equity Compensation & Employee Stock-P

Growth and Development Fund

Parental Leave

Job summary

GitLab is seeking a Senior Director, Revenue Analytics to lead a high-performing analytics team and shape the strategic data vision for sales, customer success, and professional services. You will partner with executive leadership to drive revenue growth, optimize the customer lifecycle, and scale analytics capabilities across GTM functions.

You will oversee forecasting, AI-enabled insights, and data governance while collaborating with Finance, Marketing, and Product to deliver actionable

Qualifications

• 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.
• Experience with customer success analytics, including health scoring, churn prediction, NRR and GRR analysis, segmentation, and expansion analytics.
• Experience with sales and professional services analytics, including forecasting, revenue planning, utilization, project profitability, and services-led growth metrics.
• Ability to work with large, complex datasets to develop analytical frameworks that inform resource allocation, capacity planning, and customer outcomes.
• 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.
• Familiarity with customer data platforms, product analytics tools such as Gainsight or Pendo, services management systems, and other business intelligence platforms is a plus.

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.
• Lead a team building insights via AI tooling and solutions along with legacy BI solutions.
• 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.
• Provide strategic leadership on the metrics, insights, and data necessary to help the GTM functions migrate to a consumption-based business model.
• Create executive artifacts to be used on recurring basis, integrated reporting, attribution models, and strategic analyses that connect acquisition, post-sale, and services performance.
• Partner with executive leaders and teams across Revenue Operations, Marketing, Finance, Product, Professional Services, and Enterprise Data & Analytics to turn business questions into clear recommendations.
• Establish data governance and reporting frameworks that improve data quality and provide reliable insights for executive, board, and external reporting.

Skills

Team leadership

Sales analytics

AI tooling

BI tools

SQL

Data modeling

Predictive modeling

Customer analytics

Forecasting

Churn analysis

Expansion analytics

Tools

Tableau

Hex

Omni

Claude

OpenAI

Gemini

Gainsight

Pendo

Job description

GitLab is seeking a Senior Director, Revenue Analytics to lead a high-performing analytics team and shape the strategic data vision for sales, customer success, and professional services. You will partner with executive leadership to drive revenue growth, optimize the customer lifecycle, and scale analytics capabilities across GTM functions.

You will oversee forecasting, AI-enabled insights, and data governance while collaborating with Finance, Marketing, and Product to deliver actionable