Director, Data Science

GitLab

1d•$209,600 - $314,400•Remote

About The Position

GitLab is seeking a Director, Data Science to lead its Product, Sales, and Finance Data Science teams. Reporting to the VP of Data & Insights, this leader will connect data science work to company priorities, including product innovation and adoption, go-to-market effectiveness, and consumption-business growth, while ensuring analysis influences executive decisions. The role also establishes standards for data science quality and develops managers who build high-performing teams. The Director leads through managers and oversees a team of 12 data scientists and analysts. They set direction across the data organization while remaining close enough to the work to evaluate important analyses and models. GitLab’s Data Science function brings Data Science and Analytics together, partnering with business leaders to guide investment, measure outcomes, and understand how customers gain value from GitLab. The team focuses on experimentation, causal inference, production models, and recommendations that leaders can act on. This is a remote role. GitLab is an all-remote, asynchronous company, and team members are expected to use AI in their daily workflows. The listed US base salary range is $209,600–$314,400 USD; the range excludes bonuses, equity, and benefits.

Requirements

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

Nice To Haves

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.
Thought leadership in data science or analytics, internally or externally.
Advanced degree in a quantitative field.

Responsibilities

Build trusted relationships with executives across Product, Finance, and GTM, serving as a thought partner and shaping the questions the business asks.
Own investment and prioritization across teams, making decisions about where Data Science spends its time and making trade-offs visible to senior leaders.
Lead high-impact cross-functional programs, including product adoption and consumption-business growth, from strategy through measurable business impact.
Coach and mentor managers and senior individual contributors, build succession plans, and develop future leaders.
Maintain a high talent bar and help teammates become trusted thought partners in their areas.
Set organization-wide standards for metric definition, causal inference, predictive modeling, and the role of AI.
Build a culture of trust, urgency, accountability, and open communication, and act on engagement and feedback across teams.
Partner with Analytics Engineering, Data Engineering, and other data teams on shared data opportunities and an aligned data and AI roadmap.
Lead the Product, Sales, and Finance Data Science teams, providing direction across the data organization and pressure-testing important analyses and models.