Manager of Managers, Marketing Data Science

Responsibilities

• Set the vision and multi-year roadmap for Marketing Data, aligning the team’s priorities with Stripe’s broader growth strategy
• Serve as a leader across Marketing and Data Science, helping shape strategy and representing the role of data in key company decisions
• Build a marketing measurement strategy that connects 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 that 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 that teams can use to make consistent decisions
• 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

Who you are

Minimum requirements

• 15+ years of relevant experience with a bachelor’s degree, 12+ years with a master’s, 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