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

Snowflake•Menlo Park, CA

1d•Onsite

About The Position

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.

Requirements

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 Haves

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

Responsibilities

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.