Data Transformation Lead, Retail

Google place New York, NY, USA

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.

• Experience with marketing measurement, attribution techniques (e.g., offline measurement, MMM, MTA, attribution), and Google advertising products.
• Experience in marketing analytics and understanding of robust data infrastructures/advanced AI solutions.
• Knowledge of SQL, databases, and basic automation techniques (e.g., dashboards, automating custom reports, materializing tables).
• Ability to analyze large datasets and distill them into actionable insights that are presented in a logical and compelling story.
• Ability to navigate complex, fast-paced environments, utilizing strong prioritization skills to drive data infrastructure transformations.
• Excellent written and verbal communication skills with the ability to present technical information to both technical and non-technical audiences.

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, You Tube, 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 $108,000-$154,000 + 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 .

• Lead data infrastructure modernization and accelerate customer adoption of…