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# Data Transformation Lead, Lead Gen and Marketplaces

- **Company:** Google LLC
- **Location:** Los Angeles, CA, United States
- **Experience:** Expert
- **Salary:** $124,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Bioinformatics, Data Transformation, Google Analytics, Web Analytics, Adobe
- **Published:** October 16, 2026
- **Apply:** https://dejobs.org/x/x/B6053B537B50472BB73D50013D01CF7E/job/

## About the Role

* 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 a client-facing role, with the ability to navigate complex customer organizations influence across levels from day-to-day to c-suite.
 * Experience in working with adtech products (e.g., DSPs, Google Analytics, Google Cloud, Tag Manager) and familiarity with data warehouses, DMPs, CDPs.
 * Experience with marketing analytics, 3P analytics platforms, web analytics (Adobe/GA4).
 * Background in consulting, analytics, or financial modeling.
 * Ability to work closely with cross-functional teams (including product, data science, and engineering) and to influence executive stakeholders.
 * Excellent written and verbal communication skills, with the ability to present technical information to both technical and non-technical audiences.

## Description

* Develop and advocate for AI-driven marketing strategies, creating goals for how Google's solutions address client issues and unlock growth. Influence executive stakeholders to adopt these strategies, demonstrating an understanding of their business and their propensity to adopt new AI solutions.
 * Act as a key advisor on data and measurement; translating complex concepts into clear stories for business stakeholders. Drive the delivery and activation of AI solutions, collaborating with partners, ensuring alignment with client goals, articulating and quantifying the value and impact of investments in this area.
 * Develop relationships with data and analytics counterparts and earn their trust, challenging the status quo together by telling stories with data, both visually and verbally.
 * Collaborate across teams innovating, to activate full measurement and attribution product capabilities for customers, and develop scalable solutions to industry challenges.