Director, Data Science – GTM (Data, Analytics & AI)

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. ABOUT THE ROLE We are seeking a Director of Data Science to lead high-impact analytics and AI initiatives across Snowflake’s Go-To-Market organization. This role sits within the Data, Analytics & AI (DAA) team and reports to the Senior Director of GTM DAA. In this role, you will partner closely with Sales, Marketing, and RevOps leaders to drive data-informed decision making, scale experimentation, and unlock growth through advanced analytics, machine learning model, and AI data products. You will play a critical role in shaping how Snowflake leverages data and AI to accelerate pipeline, improve conversion, and optimize the customer lifecycle. Work Location: This position is based exclusively in Menlo Park, CA. Alternative locations are not available at this time. WHAT YOU’LL DO - Own GTM Data Science strategy Define and execute the roadmap for data science across pipeline generation, sales productivity, and customer growth. - Drive measurable business impact Deliver insights, models, and recommendations across areas such as marketing attribution, forecasting, segmentation, lead scoring, and next best action. - Partner with GTM leadership Act as a trusted advisor to senior stakeholders across Sales, Marketing, and RevOps, influencing strategic planning and operational decisions. - Build and scale a high-performing team Recruit, develop, and lead a team of data scientists, fostering a culture of strong execution, technical excellence, and business impact. - Establish experimentation and measurement frameworks Lead the design and scaling of experimentation, causal inference, and performance measurement across the GTM funnel. - Strengthen data foundations Partner with Analytics Engineering and Business Analytics teams to ensure trusted data models, consistent metrics, and scalable pipelines. - Advance AI in GTM Identify and deploy AI-driven solutions including lead prioritization, customer segmentation, churn prediction, and sales recommendations. WHAT WE’RE LOOKING FOR - 10+ years of experience in data science, analytics, or a related field, with 5+ years in leadership roles - Proven experience supporting GTM functions in a B2B SaaS or high-growth technology company - Strong track record of delivering measurable impact through advanced analytics and/or machine learning - Experience partnering with senior stakeholders across Sales, Marketing, and RevOps - Strong technical foundation in SQL and Python, with experience working on modern data platforms such as Snowflake - Experience building and scaling teams in fast-paced, high-growth environments - Deep understanding of experimentation, forecasting, and customer lifecycle analytics Nice to Have - Experience leading ML projects in GTM domains, such as lead scoring, propensity modeling, churn prediction, and next best action - Hands-on experience building or deploying models for lead prioritization and propensity scoring to drive pipeline efficiency and conversion - Experience with data enrichment strategies, including integrating third-party data sources to enhance customer profiles, segmentation, and targeting - Familiarity with modern data stack tools - Experience applying AI/ML to GTM use cases in enterprise environments Every Snowflake employee is expected to follow the company’s confid