Product Strategy and Operations Lead, YouTube Viewer Growth

About the Job

YouTube’s ecosystem is constantly growing and evolving. We believe it is critical to use data to run our business and drive the decisions we make. Our Product Strategy and Operations Team partners with Product and Engineering leaders to enable better decisions and faster execution. In this role, you will help to drive a YouTube growth strategy through analytical insights and operational excellence.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

Responsibilities

• Analyze, understand, and communicate how YouTube is performing against our goals and identify and communicate emerging insights and trends with our leadership team.
• Run our weekly “health of the business” forum with our Product, Engineering, and Business leadership teams.
• Help YouTube’s leaders and teams define near-term strategy and direction, specifically our Annual and Quarterly Goals, also known as Objectives and Key Results (OKRs), and how we measure and gauge success.
• Partner with our Data Science team to prioritize and execute quantitative analyses and advanced modeling that deliver actionable insights.
• Work with the YouTube Viewer leadership team to identify and prioritize medium and longer term opportunities.

Qualifications

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 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 projects.
• Experience with SQL and spreadsheet based analysis.

Preferred qualifications:

• 8 years of experience in an analytically intensive role, such as management consulting, investment banking, business intelligence, data science, or corporate strategy and operations.
• Experience working with product and engineering teams.
• Experience working with consumer-facing software products.
• Experience leveraging artificial intelligence (AI) solutions for data analysis.
• Excellent written and verbal communication skills