Senior Manager, Data Science – GTM (Data, Analytics & AI)

Snowflake • Menlo Park, CA

2d • 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.
We are seeking a Senior Manager 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 deliver measurable business impact through advanced analytics and machine learning. You will play a key role in translating business problems into data science solutions that improve pipeline, conversion, and customer growth.
Work Location: This position is based exclusively in Menlo Park, CA. Alternative locations are not available at this time.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?

Requirements

• 8+ years of experience in data science, analytics, or a related field, with 2+ years of people management experience
• Experience supporting GTM functions in a B2B SaaS or high-growth technology company
• Strong track record of delivering business impact through analytics or machine learning
• Experience partnering with cross-functional stakeholders across Sales, Marketing, and RevOps
• Strong technical skills in SQL and Python, with experience on modern data platforms such as Snowflake
• Solid understanding of experimentation, forecasting, and customer lifecycle analytics

Nice To Haves

• Experience working on GTM use cases such as lead scoring, propensity modeling, churn prediction, or next best action
• Hands-on experience building or deploying models that improve pipeline efficiency and conversion
• Familiarity with data enrichment strategies and third-party data integration
• Experience working with modern data stack tools
• Exposure to AI/ML applications in enterprise GTM environments

Responsibilities

• Lead high-impact data science initiatives: Drive end-to-end execution of data science projects across pipeline generation, sales productivity, and customer lifecycle optimization.
• Deliver measurable business impact: Develop models, insights, and recommendations across marketing attribution, forecasting, segmentation, lead scoring, and next best action.
• Partner with GTM stakeholders: Collaborate with Sales, Marketing, and RevOps leaders to understand business needs and influence decision making with data-driven insights.
• Manage and develop a team: Lead and mentor a team of data scientists, fostering strong execution, technical rigor, and business alignment.
• Drive experimentation and measurement: Design and implement experimentation frameworks, including A/B testing and causal inference, to evaluate GTM strategies.
• Collaborate on data foundations: Partner with Analytics Engineering and Business Analytics teams to ensure reliable data models, consistent metrics, and scalable pipelines.
• Support AI initiatives in GTM: Contribute to the development and deployment of AI solutions such as lead prioritization, customer segmentation, and churn prediction.

Benefits

• For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed