Back to jobs

Senior Staff Data Science Manager, Gmail - United States

Pay
USD 240,000–333,000/yearAnnual period assumed — pay source
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $240000 - $333000 (USD) + 25% bonus target + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Read the full posting
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Lead, hire, and grow a team of data scientists

  • Set the data science goal and roadmap for Gmail

  • Define and own Gmail's success metrics, including its north star

  • Shape the strategic roadmap for Gmail AI and measure its impact

  • Partner with Product and Engineering leaders on product strategy

From the employer’s posting
Lead, develop, and grow a team of data scientists.
Set the data science goal and roadmap for Gmail.
Define, own, and evolve Gmail's success metrics, including its north star.
Shape the strategic roadmap for Gmail AI.
Partner with Product, Engineering, UX, and cross-functional leaders to influence, prioritize, and support product strategy.

What you’ll bring

All qualifications

Core experience

  • 13+ years using analytics, statistics, and coding (Python, R, SQL)
  • 5+ years as a people manager in a technical leadership role
  • Bachelor's degree in a quantitative field such as statistics or data science
Qualification wording
13 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL)
5 years of experience as a people manager within a technical leadership role.
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
Education & alternatives
**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).
+ 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).
Apply at Google

Posting record

Report an error

Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 4, 2026today
Recorded sightings
1

We found this posting on the National Labor Exchange. These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Higher than most similar jobs

$240K–$333K against $154K–$225K, the middle half of what similar US postings state.

From 2,958 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 7 and day 53.

From 7,804 similar postings that came down. Coming down is not always a hire.

Google is hiring

294 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down quickly
  • 14% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SQL
  • GCP
Where the posting names them
+ 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.
+ 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.
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. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $240000 - $333000 (USD) + 25% bonus target + equity + benefits

Your next step

Complete your application on www.google.com. The employer’s form will show what is required.

Already applied? Track this application

Has Google posted this job before?

Yes. We’ve followed 5 other Senior Staff Data Science Manager, Gmail - United States jobs there since November 2026. All 5 are still up.

  1. KirklandStill up after 0 days, first seen Nov 4
  2. SeattleStill up after 0 days, first seen Nov 4
  3. San FranciscoStill up after 0 days, first seen Nov 4
  4. SunnyvaleStill up after 0 days, first seen Nov 4
  5. BoulderStill up after 0 days, first seen Nov 4
  6. This jobUp 0 days so far, first seen Nov 4

Large employers often post one title for several teams, so these can be separate openings.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

Senior Staff Data Science Manager, Gmail - United States Share Senior Staff Data Science Manager, Gmail - United States _corporate_fare_ Google _place_ Sunnyvale, CA, USA; Boulder, CO, USA; +5 more; +4 more **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. Share Senior Staff Data Science Manager, Gmail - United States _info_outline_ XThe application window will be open until at least November 17th, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: + Health, dental, vision, life, disability insurance + Retirement Benefits: 401(k) with company match + Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment + Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance + Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks + Baby Bonding Leave: 18 weeks + Holidays: 13 paid days per year Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Sunnyvale, CA, USA; Boulder, CO, USA; Kirkland, WA, USA; New York, NY, USA; Seattle, WA, USA; San Francisco, CA, USA** . **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. **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. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $240000 - $333000 (USD) + 25% bonus target + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) . **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. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $240000 - $333000 (USD) + 25% bonus target + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Location & working pattern

New York, NY

Working pattern and location restrictions need checking in the full posting.

Work authorization

This passage needs a closer read in the full description.

Open source at www.google.com ↗

This posting reached us through a job exchange.

Read the full description ↓

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.