Tech Lead Manager, Workspace Monetization Data Science at Google in Sunnyvale, CA, USA

Job description

• 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.

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.

Requirements

• 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.
• 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.

Skills

Required

• Statistical analysis
• Coding (e.g., Python, R, SQL)

Preferred

• Advanced analytics experience (15 years)

Benefits

• 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.
• 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.