BI Tech Lead, Data products
Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Oct 26, 2026. YouTube scores B on the Alion truth index.
About the job
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.
Biz Data and Analytics (BIZ D&A) drives robust business decisions through expert analysis, data democratization, and actionable insights. The Users, Partnerships, and Creators Data Products team enhances the experience of front-line strategic partner managers and support operations. This is achieved by developing scalable data products and delivering cogent insights for partner engagement, creator and consumer support, and go-to-market strategies across YouTube's various relationships with creators, brands, media companies, and distributors.
In this role, you will lead the development of our centralized reporting and analytics solutions. You will partner with Partnerships, Support, and Go-to-Market teams to translate business needs into data products, driving better decision-making at scale. You will own the delivery of these solutions while advocating technical best practices among the community of business intelligence (BI) analysts and data engineers.
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
- Develop and deploy centralized dashboards, models, and single source of truth reports to optimize partner management and creator/consumer support.
- Partner with Partnerships, Support Operations, and GTM teams to identify business pain points and translate ambiguous requests into technical requirements.
- Collaborate with Data Infrastructure and Engineering teams to deliver a prioritized feature roadmap that enhances YouTube's support outcomes.
- Define and implement key metrics using the D&A maturity framework, providing strategic recommendations to achieve YouTube business organization's goals.
- Foster analyst community best practices across pipelines, code reviews, and dashboards while leading technical training for business analysts.
Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience in analytics and analytics development.
- 5 years of experience with relational databases including SQL queries, database definition, and schema design.
- 5 years of experience with business intelligence and data visualization tools (e.g., Looker, Tableau, PowerBI, etc.).
- Experience in system architecture and coding in at least one general purpose programming language (e.g., Java, C++, Python, etc.).
Preferred qualifications:
- 10 years of experience in SQL database manipulation, advanced data analysis, and dashboard creation.
- Experience converting ambiguous business requests into technical requirements to develop insightful data products.
- Experience deploying data products cross-functionally and tailoring stakeholder communications to drive user adoption.
- Experience with Python, Java, C++, and Python-based APIs to manage data pipelines.
- Experience presenting complex solutions to senior stakeholders and building data tools with conversational or generative AI elements.