Director, Data Science

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Lead the Data Science teams for Product, Sales, and Finance at GitLab, reporting directly to the VP of Data & Insights.

• Align Data Science initiatives with product innovation, product adoption, go-to-market strategies, and business growth related to consumption.

• Ensure that Data Science insights influence decision-making at the executive level.

• Manage a team of 12 data scientists and analysts through a network of managers.

• Foster trusted relationships with executives across the Product, Finance, and GTM sectors.

• Oversee investment and prioritization efforts across various teams, making trade-offs transparent to senior leadership.

• Direct high-impact, cross-functional initiatives from strategic planning to measurable business outcomes.

• Mentor and coach managers and senior individual contributors, enhancing succession planning and leadership development.

• Establish organization-wide standards for metric definitions, causal inference, predictive modeling, and AI practices.

• Cultivate a high-trust environment characterized by urgency, accountability, and transparent communication.

• Collaborate with Analytics Engineering, Data Engineering, and other data teams to develop a unified data and AI roadmap.

⛳️ Requirements

• 12+ years of experience in data science, product analytics, or a related discipline, including at least 6 years in leadership roles and 3 years managing managers within B2B SaaS or technology sectors.

• Proven experience in building and scaling a data science or analytics organization recognized by executives as a strategic partner.

• Strong business insight across product development and go-to-market strategies, with a history of linking data initiatives to revenue and growth results.

• Executive presence: adept at communicating complex insights and trade-offs effectively to C-suite executives, while mentoring managers to do the same.

• Extensive expertise in statistics, experimentation, and causal inference, along with sufficient technical knowledge in SQL, Python, and ML to guide and rigorously evaluate the team's output.

• A well-defined perspective on the impact of AI on data science and analytics, with experience in leading teams through this transition.

• Proficient in using GitLab, excelling in an all-remote, asynchronous work environment, modeling GitLab's remote working competencies and aligning with GitLab's values.

• Familiarity with developer tools, DevSecOps, or products driven by product-led growth.

• Experience with usage-based or consumption-based pricing models.

• Background in merging or restructuring data science and analytics teams.

• Recognized thought leadership in the fields of data science or analytics, both internally and externally.

🏝️ Benefits

• Comprehensive benefits to support your health, financial well-being, and overall wellness.

• Flexible Paid Time Off policy.

• Access to Team Member Resource Groups.

• Equity Compensation and Employee Stock Purchase Program.

• Growth and Development Fund.

• Parental Leave.