Director, Data Analytics
Hands-on Director leading embedded analytics teams across a consumer fintech. Oversees methodology, experimentation, and data-driven decision-making while managing managers and scaling the org.
Director, Data Science – GTM (Data, Analytics & AI)
Leads data science strategy and team for Snowflake's Go-To-Market organization, partnering with Sales, Marketing, and RevOps to deliver AI/ML solutions like forecasting, lead scoring, and churn prediction. Requires 10+ years experience including 5+ in leadership, strong SQL/Python skills.
262k – 376kMenlo Park, CAData AnalyticsOnsite10+ YOE
About the role
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
Skills
SQLPythonSnowflakeMachine LearningForecastingExperimentationCausal InferenceLead ScoringChurn PredictionSegmentation
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