Senior Staff Data Science Manager, Gmail

About the job

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

The Workspace Communications and Time Management (CTM) Data Science team shapes decision-making and provides actionable insights to guide product development and strategy for popular Google products like Gmail, Chat, and Calendar.

Gmail is Workspace's largest product, used by billions of people around the world. It is quickly evolving into an AI-first experience powered by Gemini.

As the Data Science Manager for Gmail, you will lead a team of data scientists and serve as Gmail's quantitative voice. You will lead the data science team for Gmail, Workspace's largest product, shape its core experience and AI strategy through data-driven insights.

US: $240000 - $333000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Lead, develop, and grow a team of data scientists. Hire and retain top talent, coach senior ICs and emerging leaders, and build a culture of technical excellence, collaboration, and impact.
• Set the data science goal and roadmap for Gmail. Balance urgent product support with investments in metrics, data foundations, and methods.
• Define, own, and evolve Gmail's success metrics, including its north star. Make sure the team reports, analyzes, and forecasts key metric trends and recommends ways to improve them.
• Shape the strategic roadmap for Gmail AI. Identify high-value use cases, evaluate model and feature quality, and quantify the impact of AI on user productivity.
• Partner with Product, Engineering, UX, and cross-functional leaders to influence, prioritize, and support product strategy.

Qualifications

Minimum qualifications:

• 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 work experience with a Master's degree).
• 5 years of experience as a people manager within a technical leadership role.

Preferred qualifications:

• 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.