Google

Runs Search and YouTube and builds Gemini AI

Tech Lead Manager - Workspace Monetization Data Science

Data ScienceConfirmed live in the last 24 hours

Full-timeIn-person

About the Job

Requirements

A bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field is required.
13 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding in languages such as Python, R, or SQL; alternatively, 10 years of work experience and a master's degree.
5 years of experience as a people manager within a technical leadership role.

Responsibilities

Act as a thought partner to engineering and product management leads, providing data-driven perspectives on product direction and strategic opportunities, and mentor and develop data science talent.
Conduct deep-dive analyses to identify high-impact opportunities for growing Workspace revenue and user value.
Define and align the data science team's vision and priorities, balancing short-term execution with long-term strategic investments.
Communicate complex findings and recommendations clearly and effectively to technical and non-technical stakeholders, including executive leadership.
Own end-to-end project outcomes, covering problem definition, metrics development, data extraction and manipulation, visualization, and statistical modeling.
Contribute to the development of analytics infrastructure and elevate the overall data foundation.
Navigate ambiguous or unprecedented challenges by framing strong hypotheses and delivering recommendations that combine analytical accuracy with product expertise.
Partner closely with product and engineering teams to shape monetization and growth strategies.
Deliver data-driven insights to guide product roadmaps, advance analytics infrastructure, and elevate the data foundation.
Lead a high-performing team of data scientists, defining vision and priorities while advocating for a culture of collaboration, growth, and excellence.

Desired Qualifications

A master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field is preferred.
15 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding in languages such as Python, R, or SQL.
6 years of experience as a people manager within a technical leadership role.

Act as a thought partner to engineering and product Management leads, providing data-driven perspectives on product direction and strategic opportunities. Mentor and develop data science talent.
Conduct deep-dive analyses to identify high-impact opportunities for growing Workspace revenue and user value. Define and align the data science team’s vision and priorities, balancing short-term execution with long-term strategic investments.
Communicate complex findings and recommendations clearly and effectively to technical and non-technical stakeholders, including executive leadership.
Own end-to-end project outcomes, covering problem definition, metrics development, data extraction and manipulation, visualization, and statistical modeling. Contribute to the development of analytics infrastructure and elevate the overall data foundation.
Navigate ambiguous or unprecedented challenges by framing strong hypotheses and delivering recommendations that combine analytical accuracy with product expertise.

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 and 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.

Google Workspace is a smart, simple, and secure suite of productivity apps—including Gmail, Docs, Drive, Calendar, Sheets, Meet, and Chat. Designed to simplify workflows and boost team productivity, Workspace features real-time collaboration at its core, allowing information to flow freely across devices and teams so that great ideas are never lost.

As a Tech Lead Manager on the Workspace Monetization Data Science team, you will play a pivotal role in scaling the business and impacting billions of users worldwide. In this role, you will partner closely with product and engineering teams to shape monetization and growth strategies.

As a manager and technical leader, you will deliver data-driven insights to guide product roadmaps, advance analytics infrastructure, and elevate our data foundation. Additionally, you will lead a high-performing team of data scientists, defining vision and priorities while advocating for a culture of collaboration, growth, and excellence.

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 about benefits at Google.In most instances, this position requires in-person interviews as part of the hiring process.

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; Kirkland, WA, USA; New York, NY, USA.

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

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size: 10,001+
Company stage: IPO
Headquarters: Mountain View, CA
Founded: 1998

Recently Posted Jobs

Explore more opportunities at Google

See more jobs