Head of Analytics, Data Cloud, Product Operations

Own analytics that drive product success across Google Data Cloud and broader Cloud through metrics, forecasting, and experimentation frameworks.

• Define, own, and evolve product success metrics for Data Cloud
• Report, analyze, and forecast trends of key product metrics; recommend improvements to increase performance
• Provide thought leadership on defining, analyzing, and validating metrics, hypotheses, and measurement approaches to support decision-making
• Lead end-to-end analysis: identify priority business problems, translate them into tractable questions, process data, and deliver results to stakeholders
• Apply advanced analytical methods to solve non-routine, cross-disciplinary problems using large, complex data sets
• Develop experimentation and measurement frameworks to improve investment velocity and support complex product decisions
• Partner across Data Cloud and broader Cloud to create insight linkages and shape data-driven strategies for business acceleration opportunities
• Serve as a senior leader in Data Cloud Strategy and Operations, contributing to the strategic outlook and supporting high-quality execution
• Work with Engineering, Product Management, Marketing, Operations, and Finance to enable data-driven product decisions

• 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
• Experience with data management, and analytical and data visualization software tools

• Advanced degree or equivalent practical experience
• Experience with R, SQL, spreadsheets, or similar analytics tools
• Experience in an enterprise setting, with demonstrated expertise and nuanced understanding of data tied to market segments and competitive dynamics/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 technical and business experts

• R
• SQL
• Spreadsheets

• Sunnyvale, CA (onsite)

• USD 222, per year

• Health, dental, vision, life, disability insurance
• 401(k) with company match
• 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• 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
• 13 paid days per year

Team context: Product and Business Strategy Leaders connect cross-functional teams across Google to help products execute optimally, combining strategy, operations cadence, and communications. The Analytics and Reporting role supports Data Cloud by applying analytics to strategically important business areas and enabling data-driven product decisions.