Senior Manager, Data Science

As Senior Manager, Data Science, you'll lead Product Data Science: a team of 6 Data Scientists within GitLab's data organization, reporting to the Director of Data Science. The role has two mandates: drive product impact now, and build the merged Data Science function.

Responsibilities

Set a long-range vision and roadmap for Product Data Science, and show the team how its goals connect to company strategy; Own prioritization and trade-offs across product areas, and adapt the team as priorities shift; Be the go-to partner for Product and Engineering leaders on complex and urgent questions, choosing the right approach: a deep dive, an experiment, or a production model; Raise risks and resource gaps early, and bring senior leaders clear options to drive timely decisions; Hire, coach, and retain a high-performing team: build career paths, act on team feedback, and make tough talent decisions when needed; Build a high-trust culture of urgency and accountability, where the team communicates openly, shares progress on a predictable cadence, and delivers quality results on time; Set standards for experimentation, causal inference, metric definition, and production modeling; Lead Product Data Science team of 6 Data Scientists, reporting to the Director of Data Science; Define excellence for a Data Scientist who blends analytics and data science, and grow the team to that bar

Requirements

10+ years in data science, product analytics, or a related field; 3+ years managing data science or analytics teams in B2B SaaS or tech; Strong product sense and a track record as a trusted partner to Product and Engineering leaders; Exceptional communicator who makes complex problems and findings clear to any audience; Thrives in ambiguity and makes sound decisions on high-risk, cross-team issues; Courage to challenge and fosters inclusive debate; Deep expertise in statistics and experimentation, including hands-on use of quasi-experimental methods (difference-in-differences, synthetic control, propensity score matching); Expert SQL (Snowflake preferred) and strong Python, with experience taking ML models to production; Fluent with AI tools, with sound judgment on when AI output can be trusted; Able to use GitLab, thrive in an all-remote, asynchronous company, and work in line with GitLab's values

Nice to have

Experience with developer tools, DevSecOps, or product-led growth products; Experience measuring adoption and quality of AI-powered product features; Thought leadership in data science or analytics, internally and externally; Advanced degree in a quantitative field

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