Tech Lead Manager, Data Science — Workspace Monetization

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

Benefits offered by this job

Health, dental, vision, life, and long

Disability insurance

401(k) with company match

20 vacation days per year

Sick time 40 hours/year

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

13 paid holidays per year

Job summary

Google Workspace is seeking a Tech Lead Manager on the Monetization Data Science team to scale the business and impact billions of users. You will partner with product and engineering to shape monetization and growth strategies and lead a high-performing data science team.

You will deliver data-driven insights to guide roadmaps, advance analytics infrastructure, and set priorities while promoting collaboration and excellence across the organization.

Qualifications

• Bachelor's degree in a quantitative field.
• 13 years of analytics experience solving product/business problems with statistical analysis and coding (Python/R/SQL) or 10 years with a Master's.
• 5 years in a people manager role within a technical leadership context.

Responsibilities

• Partner with engineering and product leads to shape monetization and growth strategies.
• Deliver data-driven insights to guide product roadmaps and analytics infrastructure.
• Mentor and develop data science talent and lead a high-performing team.
• Own end-to-end project outcomes: problem definition, metrics, data extraction, visualization, modeling.

Skills

Analytics

Data Science

Python

SQL

Leadership

Education

Bachelor's degree in Statistics/Math/Data Science/Engineering/Physics/Economics

Master's degree in Statistics/Math/Data Science/Engineering/Physics/Economics

Job description

Google Workspace is seeking a Tech Lead Manager on the Monetization Data Science team to scale the business and impact billions of users. You will partner with product and engineering to shape monetization and growth strategies and lead a high-performing data science team.

You will deliver data-driven insights to guide roadmaps, advance analytics infrastructure, and set priorities while promoting collaboration and excellence across the organization.