Monetization Data Science Tech Lead Manager

Google; New York (NY); On-site; USD 240,000 - 333,000; Full time

Benefits offered by this job

Health insurance

Retirement benefits (401(k) with match

Paid time off (20 days/year)

Sick time (40 hours/year)

Maternity leave

Baby bonding leave

13 paid holidays per year

Job summary

Google is seeking a Tech Lead Manager for the Workspace Monetization Data Science team. You will scale business insights and collaborate with product and engineering to shape monetization strategies.

As a manager and technical leader, you will guide a team of data scientists, define vision, and drive analytics infrastructure. This role emphasizes collaboration, growth, and delivering data-backed product recommendations across billions of users.

Qualifications

• Bachelor's degree in a quantitative field.
• 13 years of analytics experience solving product or business problems, with coding in Python/R/SQL (or 10 years and a Master's).
• 5 years of people management in a technical leadership role.
• Experience leading data science teams in a product-driven environment is strong plus.

Responsibilities

• Partner with engineering and product to shape monetization and growth strategies.
• Deliver data-driven insights to guide roadmaps and analytics infrastructure.
• Mentor a high-performing data science team and foster collaboration.

Skills

Python

R

SQL

Statistical analysis

Leadership

Education

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

Master's degree in Statistics/Data Science/Engineering

15+ years analytics experience solving product or business problems

5+ years people management in tech leadership

Tools

Jupyter

SQL

R

Job description

Google is seeking a Tech Lead Manager for the Workspace Monetization Data Science team. You will scale business insights and collaborate with product and engineering to shape monetization strategies.

As a manager and technical leader, you will guide a team of data scientists, define vision, and drive analytics infrastructure. This role emphasizes collaboration, growth, and delivering data-backed product recommendations across billions of users.