GitLab - Senior Director, Data Analytics
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Requirements
• Strategic analytics leadership across both marketing analytics and product analytics, ideally in B2B SaaS or other high-growth technology environments. • Experience building, leading, and developing multi-layer analytics teams (including hiring, managing managers, and coaching leaders). • Ability to define and operationalize end-to-end measurement frameworks across Marketing and Product, including shared KPIs and clear metric definitions. • Strong analytical and technical skills, including SQL; statistical analysis and experimentation (A/B and multivariate testing); forecasting and scenario modeling; and advanced analytics techniques. • Experience with data visualization and BI tools (Tableau or similar), with a track record of building executive-ready reporting and narratives for senior leaders. • Proven partnership with Engineering and Data Engineering to translate business needs into telemetry, data models, and analytics requirements, and to improve reliability and delivery across the analytics stack. • Experience collaborating with Legal, Privacy, and Security partners to design compliant telemetry and data-collection approaches that respect regulations and customer expectations. • Ability to influence senior leaders through clear communication and actionable recommendations, and to work effectively in a fully remote, asynchronous environment while adopting GitLab's values and ways of working. • We partner with teams across GitLab to build and maintain trusted, scalable data products that inform decisions across the business. We work fully remote and asynchronously across time zones, with a strong emphasis on clear documentation, shared standards, and repeatable operating models. For more on how we work, see the Enterprise Data Team Handbook Page. • The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
Responsibilities
• Define and execute a unified analytics strategy across Marketing and Product, including shared metrics, measurement frameworks, and dashboards that serve as a single source of truth and connect marketing investment to product adoption, usage, and customer outcomes. • Build clear operating rhythms and ways of working that close historical gaps and help Marketing and Product make consistent, data-informed decisions. • Partner with Marketing and Product leadership, including the Chief Product & Marketing Officer and other senior stakeholders, to provide actionable insights and executive-ready recommendations that shape go-to-market plans, product launches, roadmap prioritization, and user experience improvements. • Solve complex analytics problems across both functions, including attribution modeling, lead scoring optimization, campaign and event effectiveness, product adoption and feature usage analysis, and analytics for AI-powered features (including instrumentation, usage, and cost drivers). • Build and maintain forecasting and scenario modeling frameworks in partnership with Finance, Product, and go-to-market leaders, tying pipeline, recurring revenue, and usage or consumption models to planning and investment decisions. • Establish and scale an experimentation program across Marketing and Product, setting standards for hypothesis design, test methodology, instrumentation requirements, and clear readouts that translate results into decisions. • Build strong partnerships with data engineering, engineering, and legal, privacy, and security teams to translate business questions into technical requirements, prioritize telemetry and data model work, and improve reliability, quality, accessibility, and compliance in the analytics stack. • Hire, mentor, and develop leaders and team members, raising the bar for strategic thinking, stakeholder partnership, and end-to-end ownership across the analytics organization.
Benefits
• $184,400 - $314,400 USD • How GitLab will support you • 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 • Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. • Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. • Country Hiring Guidelines:
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