Marketing Data Science Manager

🔥 18 hours ago

🗽 New York, Washington – Remote

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⏰ Full Time

🟠 Senior

🔴 Lead

📊 Data Scientist

🦅 H1B Visa Sponsor

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👻 Ghost score 10%

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Logo of Stripe

Stripe

1001 - 5000 employees

Founded 2010

💳 Fintech

🛍️ eCommerce

🤝 B2B

💰 Venture Round on 2021-05

Fintech • eCommerce • B2B

Stripe is a global payments processing platform that enables businesses to accept online and in-person payments. It offers a comprehensive suite of financial services, including payment processing, billing, and revenue management tools, aimed at businesses of all sizes, from startups to enterprises. By providing a developer-friendly API, Stripe allows businesses to streamline their payment operations and embed financial services directly into their applications, facilitating both B2B and B2C transactions.

📋 Description

• 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 connecting marketing investments to incremental growth, pipeline, revenue, product adoption, and long-term customer value • Guide investment decisions across channels, audiences, markets, and products • Develop targeting, propensity, and optimization models • 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 and influence senior leaders • Build and develop a high-performing organization of data scientists, analysts, and managers • 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, 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

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