Manager of Managers, Marketing Data Science

Role overview This senior leadership role directs the Marketing Data function for a large financial infrastructure platform, shaping how data science and analytics inform marketing investment and growth strategy. The position partners with senior leaders across Marketing, Sales, Growth, Product, Finance, and Engineering to connect measurement, modeling, and business decisions.

Responsibilities - Set the multi-year vision and roadmap for Marketing Data, aligning team priorities with broader company growth strategy - Build a marketing measurement framework that connects investment to incremental growth, pipeline, revenue, product adoption, and long-term customer value - Guide resource allocation across channels, audiences, markets, and products by helping leaders understand tradeoffs - Develop targeting, propensity, and optimization models that improve how prospective and existing users are reached and engaged - Partner with Marketing and Finance leadership on forecasting, goal setting, budget planning, and performance management - Establish trusted marketing metrics, data sources, and measurement standards used across teams - Set the direction for how AI improves marketing decision-making, campaign execution, and team productivity - Recruit, develop, and lead a high-performing organization of data scientists, analysts, and managers, with clear standards for quality and impact

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 - Track record as a senior data leader shaping business strategy and influencing executive decisions - Deep expertise in marketing data science, including measurement, experimentation, causal inference, targeting, attribution, or investment optimization - Ability to translate long-term data strategy into a focused roadmap with measurable outcomes - 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 - Demonstrated success building alignment across Marketing, Finance, Product, Sales, and Engineering

Nice to have - Experience recruiting and developing senior data scientists, analysts, and managers