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Data Transformation Lead, Large Customer Sales
GoogleUnited Statesfull_timeVerifiedPosted 18 Sept 2025
💰 $148,000/yr($103,000/yr – $148,000/yr)
About the role
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in media analytics, advertising sales, digital media and marketing, or consulting.
Preferred qualifications:
- Experience working with Retail clients to identify technical issues and opportunities, selling AdTech and MarTech solutions, and leading project planning.
- Experience working with sales and cross-functional teams and influence key executive stakeholders both internally and externally across all levels.
- Ability to work effectively in fast-paced environments with effective time-management and prioritization skills.
- Ability to communicate effectively with executive clients, including verbal and visual presentations.
- Experience working with Google products such as Google Ads, Google Analytics or Google Cloud and with big data and data warehouses.
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 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, you will be responsible for leading the business cycle for key Data and Measurement infrastructure capabilities, managing conversations across clients and partners to drive adoption of Data and Measurement solutions.
In this role, you will be collaborating with internal teams to accelerate infrastructure adoption, aligned with the advertisers joined business plan with Google.
The US base salary range for this full-time position is $103,000-$148,000 + 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.
The US base salary range for this full-time position is $103,000-$148,000 + 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
- Power Retailers' Google AI through influential thought leadership on data and measurement infrastructure across the Google Marketing Platform Suite (including Google Ads and Google Marketing Platform products).
- Guide projects from discovery through implementation by collaborating cross-functionally with Ad Sales, Cloud teams, Product/Technical specialists, and Google partners to synthesize technical business requirements into cohesive business cases.
- Shape, scope, and execute transformational data and technology programs with cross-functional teams to de
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