About this role
As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.
You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.
The YouTube Business Go-To-Market team is responsible for driving all go-to-market functions for YouTube, including strategy and business operations, analytics and data science, partnership enablement, and product activation. The team shapes go-to-market priorities to accelerate growth and resource the business accordingly, enhancing skills and capabilities to support execution of business priorities, driving efficiency across business operations, and building excellent infrastructure and tooling.
As an Analytical Lead, you will operate at the intersection of product-driven distribution strategy, complex agreement economics, and large-scale subscription data systems. You will act as a trusted business consultant to partner-facing business development leads, translating strategic distribution and subscription growth questions into structured analytical models, diagnosing subscriber and active user trends, and architecting governed data layers to power operational dashboards and business reviews.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $126000 - $180000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google (https://www.google.com/about/careers/applications/benefits/).
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 3 years of experience troubleshooting technical issues for internal/external partners or customers.
- 3 years of experience with data analysis and SQL/MySQL.
- Experience in stakeholder management.
Preferred qualifications:
- Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, Economics, Business Analytics, Finance, or equivalent practical experience.
- 5 years of experience in business analysis, data analytics, financial analytics, strategic finance, or management consulting.
- Advanced-level proficiency in SQL (multi-table joins, window functions, CTEs, query optimization) on large-scale datasets, with a proven ability to translate complex data structures into actionable insights for business stakeholders.
- Knowledge of using AI-powered development and agentic tooling (e.g., Antigravity, Gemini Code Assist) to accelerate code generation, optimize SQL queries, and streamline data analytics workflows.
- Build models analyzing subscriber growth drivers (e.g., activation, churn, billing) across global partners to identify headwinds and inform forecasts.
- Lead performance reviews that translate complex data into clear insights, helping business development optimize device and carrier partnerships.
- Develop scenario models evaluating partner agreement economics—such as revenue-shares and margins—to support high-stakes commercial negotiations.
- Architect and optimize standardized data models and complex SQL queries across large datasets to maintain a single source of truth for partner metrics.
- Advise business development and GTM leadership by synthesizing data into executive-ready narratives and advocating modern, self-service AI tools.