Workspace Monetization Data Science Tech Lead

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

Benefits offered by this job

Health insurance

401(k) with company match

Paid Time Off

Holidays

Job summary

Google is seeking a Tech Lead Manager for the Workspace Monetization Data Science team. The role focuses on scaling business impact by guiding data-driven monetization and growth strategies across Workspace products.

You will lead a high-performing data science team, shape roadmaps, and elevate analytics infrastructure while partnering with product and engineering teams. Expect to mentor talent, deliver insights, and drive strategic initiatives at scale.

Qualifications

• 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 with a Master's degree).
• 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.
• Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders.

Responsibilities

• Mentor and develop data science talent within the team.
• Conduct deep-dive analyses to identify high-impact opportunities for growing Workspace revenue and value.
• Define and align the data science team’s vision and priorities with product and engineering.
• Communicate complex findings to technical and non-technical stakeholders, including executives.
• Own end-to-end project outcomes—from problem definition to metrics, data, and modeling.

Skills

Data science leadership

Mentoring

Analytics

Python

SQL

Statistics

Education

Bachelor's degree in a quantitative field

Tools

Python

R

SQL

Job description

Google is seeking a Tech Lead Manager for the Workspace Monetization Data Science team. The role focuses on scaling business impact by guiding data-driven monetization and growth strategies across Workspace products.

You will lead a high-performing data science team, shape roadmaps, and elevate analytics infrastructure while partnering with product and engineering teams. Expect to mentor talent, deliver insights, and drive strategic initiatives at scale.