Director of Analytics & Data Science, CircleCI

• 10+ years in analytics, data science, or related fields with 4+ years leading teams
• Genuine fluency across product analytics, GTM/marketing analytics, experimentation, and ML—you've done the work, not just managed it
• Strong SQL skills and hands-on experience with Python for analysis and modeling
• Experience with modern analytics and ML tooling (we use Snowflake, dbt, Mode, and are looking to you to help evaluate next-gen AI/BI tools)
• Track record of influencing product and business strategy through data—not just answering questions but reframing them
• Experience in B2B SaaS, ideally with product-led growth or developer-focused products
• Comfort with ambiguity and the ability to structure problems in messy, fast-moving environments
• Experience building and scaling analytics/data science teams at growth-stage companies
• Ability to attract, develop, and retain strong talent
• Credibility to partner with senior Product and Engineering leaders as a peer, not just a service provider
• Strong communicator who can translate complex analysis into clear narratives for technical and non-technical audiences
• Genuine curiosity about emerging tools, techniques, and ways of working
• Willingness to challenge the status quo and push the team (and organization) to adopt better approaches
• Opinions about where analytics and data science are headed—and energy to get us there

Desirable

• We are looking for a Director of Analytics & Data Science to further build and lead our insights engine.
• This is a hands-on leadership role for someone who can operate across the full spectrum of analytics and data science—from ad hoc deep dives to ML models in production
• You'll be a strategic partner to both Product and GTM leadership, bringing data-driven rigor to how we build products, acquire customers, and grow revenue
• This role is for a builder and disruptor
• You'll inherit a solid foundation and be expected to level up the team with modern methodologies, emerging tools, and techniques that keep us ahead
• If you geek out about experimentation frameworks, get excited about productionizing ML models, and believe analytics should drive decisions (not just report on them), we want to talk
• The Data team at CircleCI is outcome-driven and impact-focused and has a seat at the table with functional leadership
• Serve as the analytics and data science thought partner to Product, Engineering, and GTM leadership—translating business questions into analytical frameworks and actionable insights
• Define the vision and roadmap for how CircleCI uses data to make decisions, from product development to customer acquisition to retention
• Build a culture of intellectual rigor, curiosity, and bias toward action
• Lead a team where ~80% of the work is ad hoc analysis and deep investigation—answering the hard questions that don't fit neatly into a dashboard
• Drive our experimentation program: design methodology, statistical rigor, and organizational adoption
• Own the ~20% of reporting work with an eye toward self-service and scalability—build it once, build it right
• Oversee ML modeling initiatives across product and GTM use cases (propensity models, churn prediction, usage forecasting, recommendations)
• Guide the team's emerging work in AI prompt engineering and context engineering as we explore AI-powered features
• Ensure models move from notebooks to production with proper monitoring, maintenance, and business integration
• Lead and develop two managers (GTM Analytics, Product Analytics) and their teams—approximately 10 people total
• Raise the bar on talent, methodology, and delivery across the organization
• Foster collaboration with our Data Platform & Solutions team (who builds the infrastructure you depend on) and GTM Systems team (who operationalizes insights in tools like HubSpot, Vitally, and Zendesk)