Manager of Managers, Marketing Data Science

Details

Stripe is a financial infrastructure platform for businesses. The Marketing Data team supports growth by building awareness, improving brand perception, scaling self-serve experiences, expanding the sales pipeline across all segments, and driving multi-product adoption.

The team leader will set the direction for data science, analytics, and modeling across Stripe's marketing efforts, partnering with Marketing leadership and teams across Sales, Growth, Product, Finance, and Engineering to connect data, measurement, and business strategy.

The team works with experiments, causal inference, metric definition and forecasting, and reliable data foundations to help Marketing measure incremental impact, identify growth opportunities, and use artificial intelligence in marketing.

Responsibilities

• Set the vision and multi-year roadmap for Marketing Data, aligning priorities with Stripe's broader growth strategy.
• Serve as a leader across Marketing and Data Science, shaping strategy and representing the role of data in key company decisions.
• Build a marketing measurement strategy connecting marketing investments to incremental growth, pipeline, revenue, product adoption, and long-term customer value.
• Guide investment decisions across channels, audiences, markets, and products, helping leaders understand tradeoffs and allocate resources.
• Develop targeting, propensity, and optimization models to improve how Stripe reaches and engages prospective and existing users.
• Partner with Marketing and Finance leadership on forecasting, goal setting, budget planning, and performance management.
• Establish trusted marketing metrics, data sources, and measurement standards.
• Set the direction for how Marketing uses AI to improve decision-making, campaign execution, and team productivity.
• Turn complex analysis into clear recommendations, influencing senior leaders and building alignment across functions.
• Build and develop a high-performing organization of data scientists, analysts, and managers, with clear standards for quality and impact.
• Partner with senior leaders across Sales, Growth, Product, Finance, and Engineering to deliver shared business outcomes.

Requirements

• 15+ years of relevant experience with a bachelor's degree, 12+ years with a master's degree, or 8+ years with a PhD in a quantitative field.
• 5+ years leading data science or analytics teams, including 3+ years managing managers and scaling organizations.
• Experience as a senior data leader shaping business strategy and influencing executive decisions.
• Deep marketing data science experience, including measurement, experimentation, causal inference, targeting, attribution, or investment optimization.
• Ability to set a long-term data strategy and translate it into a focused roadmap with measurable outcomes.
• Track record of leading complex, cross-functional data initiatives from ambiguous problem definition through adoption.
• Strong statistical foundation, particularly in measuring marketing effectiveness and incremental impact.
• Working knowledge of SQL and a scientific computing language such as Python or R.
• Ability to turn complex analysis into clear, actionable recommendations for senior leaders.
• Proven ability to build alignment across Marketing, Finance, Product, Sales, and Engineering.
• Demonstrated success recruiting and developing senior data scientists, analysts, and managers.