Strategy and Operations Principal, Data Science

Product and Business Strategy Leaders bring together teams across Google’s functions to help products execute optimally. Our team pushes Google to scale at key points that refine our products and infrastructure by executing efficiently, bringing solid business sense and sound judgment, and working effectively across organizational lines.

Our roles often include components of strategy (e.g. analyzing and understanding new trends in the industry, building business plans), operations (e.g. running the cadence of organizations, connecting the operating lines between our functions), and communications. Our team partners with senior leadership to run important functions that cross-cut our existing organizations and deliver high impact projects. We help Engineers, PMs, UX, and all of our other functions to build amazing products that delight our users, and then get those products into their hands.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $176000 - $257000 (USD) + 20% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

Minimum qualifications:

• Bachelor's degree in Economics, Statistics, Data Science, Engineering, or equivalent practical experience.
• 11 years of experience in management consulting, product management and strategy, or analytics in a technology company.
• Experience working with and analyzing data, and managing multiple cross-functional programs or projects.

Preferred qualifications:

• Advanced degree in Economics, Statistics, Data Science, Engineering, or equivalent practical experience.
• Experience with R, SQL, spreadsheets, or similar analytics tools.
• Experience working with product and engineering teams.
• Experience in risk management and data governance in a fast-moving environment.
• Excellent written and verbal communication skills.