Senior Staff Data Science Manager, Gmail - United States

Google•Boulder, CO
•$240,000 - $333,000

About The Position

The Data Science Manager for Gmail leads a team of data scientists and serves as Gmail’s quantitative voice, shaping the product’s core experience and AI strategy through data-driven insights. The role is part of the Workspace Communications and Time Management Data Science team, which guides product development and strategy for products including Gmail, Chat, and Calendar. Gmail is Workspace’s largest product and is evolving into an AI-first experience powered by Gemini. Data Scientists provide quantitative support, market understanding, and strategic perspectives to partners across Google. They use analytics to support better decisions, derive meaningful insights from data, and make recommendations to Engineering and Product Management. This manager sets Gmail’s data science direction, develops the team, and partners across functions to influence product strategy.

Requirements

  • Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 13 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 10 years of work experience with a master’s degree.
  • 5 years of experience as a people manager within a technical leadership role.

Nice To Haves

  • Master’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 15 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
  • 6 years of experience as a people manager within a technical leadership role.

Responsibilities

  • Lead, develop, and grow a team of data scientists; hire and retain talent, coach senior individual contributors and emerging leaders, and build a culture of technical excellence, collaboration, and impact.
  • Set the data science goals and roadmap for Gmail, balancing urgent product support with investments in metrics, data foundations, and methods.
  • Define, own, and evolve Gmail’s success metrics, including its north star; ensure the team reports, analyzes, and forecasts key metric trends and recommends ways to improve them.
  • Shape Gmail’s strategic AI roadmap by identifying high-value use cases, evaluating model and feature quality, and quantifying AI’s impact on user productivity.
  • Partner with Product, Engineering, UX, and cross-functional leaders to influence, prioritize, and support product strategy.

Benefits

  • 25% bonus target
  • Equity
  • Benefits
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