Head of Analytics, Data Cloud, Product Operations

As a senior analytics leader, you will guide product success measurement and reporting for Google’s Data Cloud organization. This role focuses on defining metrics, forecasting trends, and enabling experimentation so Data Cloud teams can make data-driven product decisions across Data Cloud and broader Cloud.

Role Overview

You will lead the Analytics and Reporting team within Data Cloud, applying analytics to strategically important areas and creating linkages that support Data Cloud and portfolio-wide priorities. The position also serves as a senior leadership role on the Data Cloud Strategy and Operations team, contributing to both strategic outlook and execution quality in collaboration with Product Management and Engineering.

Key Responsibilities

• Define, own, and evolve product success metrics, including reporting, analysis, and forecasting of key product metrics, with recommendations to improve them.
• Provide thought leadership to define, analyze, and validate metrics and hypotheses that support decision-making and measure the success of product teams.
• Work with large and complex datasets to develop solutions that support incremental business growth, solving non-routine, interdisciplinary analysis problems using advanced analytical methods as needed.
• Perform end-to-end analysis: identify important business problems, translate them into tractable questions, process data and conduct analysis, and communicate results to stakeholders to inform product direction.
• Develop experimentation and measurement frameworks to increase investment velocity and support complex decision-making.

Required Qualifications

• Bachelor’s degree or equivalent practical experience.
• 15 years of experience in management consulting, product management and strategy, or analytics in a technology company.
• 12 years of experience using analytics to solve product or business problems, including statistical analysis and coding.
• 3 years of experience managing or leading teams.
• Experience with technical aspects of analytics, data science, and statistical methodologies, as well as data management and analytical and data visualization software tools.

Preferred Qualifications

• Advanced degree or equivalent practical experience.
• Experience with R, SQL, spreadsheets, or similar analytics tools.
• Experience in an enterprise setting, with demonstrated expertise and a nuanced understanding of data tied to market segments and competitive dynamics or customer adoption behavior.
• Experience informing product decisions through quantitative and qualitative analysis.
• Effective leadership capabilities with the ability to motivate a team.
• Excellent communication skills, with the ability to communicate with both technical and business experts.

Tools and Technologies

• R
• SQL
• Spreadsheets

Location and Compensation

• Location: Sunnyvale, CA (onsite)
• Compensation: USD 222,000 to 308,000 per year

Education

Bachelor’s degree.

Benefits

• Health, dental, vision, life, and disability insurance
• 401(k) with company match
• 20 days of vacation per year, accruing at 6.15 hours per pay period for the first five years of employment
• 40 hours per year (increased to 69 hours per year for Seattle), including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28 to 30 weeks
• Baby Bonding Leave: 18 weeks
• 13 paid days per year