Tech Lead Manager, Workspace Monetization Data Science

Google; Kirkland (WA); On-site; USD 240,000 - 333,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off

Sick time

Maternity leave

Baby bonding leave

Holidays

Job summary

Google is seeking a Tech Lead Manager for the Workspace Monetization Data Science team. You will scale the business, partner with product and engineering, and lead a high-performing data science team to shape monetization strategies and product roadmaps.

You will deliver data-driven insights, advance analytics infrastructure, and guide cross-functional stakeholders while fostering a culture of collaboration and growth.

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.

Responsibilities

• 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.

Skills

Analytics leadership

Statistical analysis

Python/SQL/R

People management

Education

Bachelor's degree in a quantitative field

Master's degree (preferred)

Tools

Python

SQL

R

Job description

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.

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.

About The Job

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

Responsibilities

Learn more about benefits at Google .

• 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.

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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .