As a part of the YouTube Ads
GTM Strategy and Operations team, you will bridge the gap between YouTube Ads product/engineering teams and the global commercial organization. In this role, you will lead a team of analysts to drive operational excellence and deliver impactful insights that support the YouTube Ads business plan. You will serve as the technical anchor for the team, establishing a steady operational rhythm and transitioning from reactive data requests to proactive strategic initiatives, including AI-driven self-service analytics and complex data triangulation architecture.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $186000 - $270000 (USD) + 20% bonus target + equity + benefits
Learn more about
benefits at Google.
Responsibilities
- Manage, mentor, and develop a team of analysts and data scientists to foster a high-performance and growth-oriented environment.
- Oversee the end-to-end delivery of analytical projects, dashboards, and insights for the YouTube Ads GTM organization, ensuring accuracy and timeliness.
- Establish operational standards and a steady rhythm of business to transition the team from a reactive "firefighting" state to a proactive strategic model.
- Lead the design and rollout of an AI self-service analytics strategy to automate data requests and scale insights across the organization.
- Translate complex data insights into business logic to present directly to Directors and Vice President
(VPs), influencing strategic priorities and business planning.
Minimum qualifications:
- Bachelor's degree in Mathematics, Engineering, Computer Science, a quantitative field, or equivalent practical experience.
- 8 years of experience in management consulting, sales operations, business strategy, investment banking, venture capital, private equity, or corporate advisory, or 6 years of experience with an advanced degree.
- Experience with data analysis, statistical analysis, data pipelines (e.g., SQL), and dashboard solutions.
- Experience directly managing and leading a team of analytics professionals.
- Experience with statistical modeling techniques and programming languages (e.g., Python or R) for data analysis.
Preferred qualifications:
- Experience building data triangulation architecture to connect isolated data streams into a unified business view.
- Experience with advanced causal inference techniques, including incrementality measurement, observational studies, and attribution modeling.
- Experience working with sales or go-to-market teams in a global organization.
- Experience navigating business issues and shaping strategy in a fast-moving organization.
- Experience acting as a technical mentor in data science, guiding junior analysts and fostering a high-performing culture.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
New York, NY, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA; Los Angeles, CA, USA; Mountain View, CA, USA; San Bruno, CA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA.
The application window will be open until at least July 8, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
This role may also be located in our Playa Vista, CA campus.
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.