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# Data Transformation Lead, Education and Careers

- **Company:** Google LLC
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $124,000.0 - $181,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Infrastructure, Data Transformation, Data Warehousing, Google Analytics, Tag Management, Google Cloud, Data Strategy
- **Published:** June 14, 2026
- **Apply:** https://dejobs.org/x/x/5422B99829894952A23A8AC20012F571/job/

## About the Role

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., * Bachelor's degree or equivalent practical experience.

 * 8 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis., * Experience in client-facing project management roles, delivering high-profile projects, and a proven ability to influence executive stakeholders.
 * Experience in working with adtech products (e.g., DSPs, Google Analytics, Google Cloud, Tag Manager) and familiarity with data warehouses, DMPs, CDPs.
 * Ability to build and maintain relationships with executive-level stakeholders.
 * Ability to create goals for clients, aligning client business goals with AI-powered technical solutions.
 * Ability to work closely with cross-functional teams (including Sales, Data Science, and Engineering).
 * Excellent written and verbal communication skills, with the ability to present technical information to both technical and non-technical audiences.

## Description

* Develop AI-driven marketing strategies, creating a compelling goal for how Google's solutions address client issues and unlock growth. Influence executive stakeholders to adopt these strategies, demonstrating an understanding of their business objectives and propensity to adopt new AI solutions.
 * Lead clients in modernizing their data infrastructure to enable Google measurement solutions, establishing best practices and long-term data strategies. This involves assessing data maturity, designing technical implementation plans, and ensuring secure platform integration.
 * Act as a key technical advisor, translate concepts into clear stories for business stakeholders. Drive the delivery and activation of AI solutions, collaborating with partners, and ensuring alignment with client's goals.
 * Partner with ads sales, cloud sales, tech implementation experts, product owners and third party teams to identify opportunities that drive growth.


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