Data Transformation Lead, Education and Careers
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in consulting, corporate strategy, technology sales, data analytics, performance marketing, business analysis, product strategy, or a related technical field.
- Experience in leading projects, including planning, execution, and delivery.
Preferred qualifications:
- Experience in working with adtech products (e.g. DSPs, Google Analytics, Google Cloud, Tag Manager) and familiarity with data warehouses, DMPs, CDPs.
- Experience in client-facing project management roles, delivering high-profile projects.
- 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) 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.
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.
As a Data Transformation Lead (DTL), you will be at the forefront of a major shift, helping some of the world's most innovative tech companies revolutionize their approach to marketing through the strategic adoption of AI. You will be shaping the future of marketing for these industry leaders. You will partner with cross-functional teams, including sales, data science, and engineering to drive the adoption of innovative AI-powered marketing strategies. You will act as a trusted advisor, translating client needs into technical roadmaps, and ensuring successful implementation. You will play a pivotal role in defining best practices and influencing the broader industry, making a real impact on the success of our clients and Google's growth. You will also be responsible for fostering 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.
The US base salary range for this full-time position is $118,000-$174,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- 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.
- Lead clients in modernizing their data infrastructure for advanced AI, establishing best practices and a long-term data strategy. Assess data maturity, design technical implementation plans, and ensure secure platform integration.
- Act as a key technical advisor, translating complex 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 sales and product teams to identify opportunities and 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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