Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 11 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 architecting and implementing AI-driven data and marketing technology roadmaps, with expertise in broader cloud ecosystems (e.g., Google Cloud) and how cloud data warehousing connects to marketing activation and AI modeling.
- Ability to create a goal for clients, aligning their business goals with AI-powered technical solutions, and a passion for bringing AI to how customers grow their business.
- Excellent written and verbal communication skills, with the ability to present technical information to both technical and non-technical audiences.
- Excellent project management and client-facing experience, delivering high-profile projects and influencing executive stakeholders while collaborating with cross-functional teams.
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 technology companies revolutionize their approach to marketing through the adoption of AI. In this role, 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 clients and Google's growth. You will also be responsible for fostering relationships with C-level executives, guiding them through the 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 $142,000-$207,000 + 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
- Act as a key technical advisor, translating complex concepts into clear stories for business stakeholders. Educate, drive influence, and build relationships with stakeholders through measurement subject matter knowledge.
- Develop strategic partnerships with customers to support their data and measurement infrastructure strategy, and collaboratively establish a roadmap to guide successful execution. Partner with sales and product teams to identify opportunities and drive growth.
- Influence executive stakeholders to adopt Google’s Data Strength solutions, including Enhanced Conversions and Google tag gateway, demonstrating a deep understanding of their business.
- Lead clients in modernizing their data infrastructure for advanced AI solutions, establishing best practices and a long-term data strategy. Advocate Google AI adoption by translating high-impact opportunities into formal execution plans, supported by cross-functional orchestration and advanced measurement infrastructure.