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Alphabet · Bengaluru, Karnataka, India

BI Tech Lead, Data products, YouTube

Bengaluru, Karnataka, IndiaManager or leadData & Analytics

Listed on Alphabet’s official careers site. Listed as of October 30, 2026. Check that it is still open and apply there.

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Job description

info_outline 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.

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