Director, Data Science

Details

GitLab is seeking a Director, Data Science to lead the Product, Sales, and Finance Data Science teams and report to the VP of Data & Insights. The role focuses on making Data Science a driver of growth and setting a high standard for data science excellence across the organization. The overall team size is approximately 12 data scientists and analysts.

Responsibilities

• Build trusted relationships with executives across Product, Finance, and go-to-market teams, acting as a thought partner and shaping strategic business questions.
• Own investment and prioritization across Data Science teams and make trade-offs visible to senior leaders.
• Lead high-impact, cross-functional programs, including product adoption and consumption business growth initiatives, from strategy through measurable business impact.
• Coach and mentor managers and senior individual contributors, building succession plans and future leadership capacity.
• Maintain a high talent bar and help team members become trusted thought partners.
• Set organization-wide standards for metric definition, causal inference, predictive modeling, and the use of AI.
• Build a high-trust culture focused on urgency, accountability, and open communication.
• Partner with Analytics Engineering, Data Engineering, and other data teams to address data opportunities through a shared data and AI roadmap.

Requirements

• 12+ years of experience in data science, product analytics, or a related field.
• 6+ years of experience leading teams, including 3+ years managing managers, in B2B SaaS or technology.
• Experience building and scaling a data science or analytics organization treated by executives as a strategic partner.
• Strong business acumen across product and go-to-market functions, with experience connecting data work to revenue and growth outcomes.
• Executive presence and the ability to communicate complex findings and trade-offs clearly to C-suite audiences.
• Deep expertise in statistics, experimentation, and causal inference.
• Technical depth in SQL, Python, and machine learning sufficient to guide and pressure-test the team's work.
• A clear perspective on how AI is reshaping data science and analytics, with experience leading teams through that shift.
• Ability to use GitLab, thrive in an all-remote asynchronous company, model GitLab's remote working competencies, and work in line with GitLab's values.

Nice to Have

• Experience with developer tools, DevSecOps, or product-led growth products.
• Experience with usage-based or consumption pricing models.
• Experience merging or restructuring data science and analytics teams.
• Internal or external thought leadership in data science or analytics.
• An advanced degree in a quantitative field.

About the Team

Data Science at GitLab combines Data Science and Analytics into one function. The team partners with business leaders, applies analytical rigor and statistical expertise, supports investment decisions, measures outcomes, and helps understand how customers get value from GitLab. The team focuses on experimentation, causal inference, production models, and recommendations that leaders act on.

Compensation and Benefits

The United States base salary range is $209,600–$314,400 USD. The range applies to United States residents and does not include bonuses, equity, or benefits. Grade level and salary are determined based on factors including education, experience, knowledge, skills, abilities, internal equity, market data, and geographic location.

Full-time employee benefits include health, financial, and well-being benefits; flexible paid time off; team member resource groups; equity compensation and an employee stock purchase plan; a growth and development fund; and parental leave.

GitLab is an all-remote, equal opportunity workplace.