Global Data Transformation Lead, Large Customer Sales

Google•Chicago, IL

11h•$142,000 - $206,000

About The Position

As a Global Data Transformation Lead (DTL), you will be at the forefront of a major shift, helping some technical companies revolutionize their approach to marketing through the adoption of AI. You won't just be implementing solutions; you'll 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 AI-powered marketing strategies. You will act as a trusted advisor, translating client needs into technical roadmaps and ensuring successful implementation. You'll 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'll also be responsible for fostering excellent relationships with C-level executives, guiding them through the implications of AI and data-driven marketing. Google's Large Customer Sales (LCS) teams are partners and industry thought leaders for the world's leading brands and agencies. We partner with clients to navigate industry shifts and drive significant business performance. You will have the opportunity to promote at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering measurable results that significantly impact major global businesses.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.

Requirements

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.

Nice To Haves

Experience architecting and implementing AI-driven data and marketing technology roadmaps, with expertise in cloud-based solutions for the media, advertising, and technology sectors.
Strong project management and client-facing experience, delivering high-profile projects and influencing executive stakeholders while collaborating with cross-functional teams.
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.
Ability to build and maintain relationships with executive-level stakeholders.
Exceptional written and verbal communication skills, with the ability to present complex technical information to both technical and non-technical audiences.

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 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. Drive conceptual client buy-in and adoption of bespoke Google AI solutions to support Google business growth.