Data Transformation Lead, Education and Careers
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.
Preferred qualifications:
- 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.
About the job
Businesses of all shapes and sizes rely on Google’s unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. You act like an owner, move with velocity through change, finding innovative and strategic ways to consistently deliver extraordinary and incremental outcomes for both Google and your customers. You build trusted relationships with customers, uncovering their business needs and translating them into powerful solutions to achieve their most ambitious goals. You achieve as a team with sellers, shape the future of advertising in the AI-era, and make a real impact on the millions of companies and billions of users that trust Google with their most important goals.
Businesses of all shapes and sizes depend on Google’s advertising solutions to thrive in today's dynamic marketing environment. As a Data Transformation Lead (DTL), you will be at the forefront of helping some of the most innovative brands in education and careers revolutionize their approach to marketing through the adoption of AI technology.
You will be shaping the future of marketing for these industry leaders. You will partner with cross-functional teams, to drive the adoption of foundational data strategies and innovative AI-powered marketing strategies. You will act as a trusted advisor, translating client needs into tech roadmaps and ensuring successful implementation. You will play a pivotal role in defining best practices and influencing the broader industry. You will foster strong relationships with C-level executives, guiding them through the strategic implications of AI and data-driven marketing.
Google's Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the world's leading brands and agencies. We continuously challenge how customers think about their business and how Google can support growth. We focus on helping these players navigate profound industry shifts and drive outsized business performance by competitively selling Google's full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of our LCS team, you'll have the unique opportunity to sell at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering tangible results that significantly impact major global businesses and drive the growth of Google.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $124000 - $181000 (USD) + 60% bonus target + bonus + equity + benefits
Learn more about benefits at Google.
Responsibilities
- 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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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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