Data Transformation Lead, Global Sales, Large Customer Sales

Data Transformation Lead, Global Sales, Large Customer Sales

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Minimum qualifications:

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

Preferred qualifications:

• Experience in working with Google products (e.g., Google Ads, DV360, Campaign Manager, Google Analytics, Ads Data Hub, or Google Cloud), and with data and data warehouses (e.g., DSPs, CDPs, DMPs, etc.).
• Experience working with partners to identify technical challenges and opportunities, selling AdTech and MarTech solutions, and leading project planning.
• Ability to work with sales and cross-functional teams, as well as influence key stakeholders internally and externally across all levels.
• Ability to communicate with clients, with excellent time-management, prioritization, and presentation skills.

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, you will be accountable for measurement solution design and driving client commitment for key data integration capabilities by owning the measurement narrative with clients at all levels. You will establish modern measurement foundations that will drive media outcomes and accelerate AI Innovation through follow-on projects like offline data infrastructure, creative AI business applications, predictive bidding and new innovations.

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.

Responsibilities:

• Engage in strategic partnerships with customers to define their data and measurement infrastructure strategy, and collaboratively establish a roadmap and goal to guide its successful execution.
• Lead the first-party data integration and durable measurement business cycle for performance and lead generative advertisers across Google buying doors (e.g., Google Ads and GMP).
• Drive conceptual client buy-in and adoption of foundational infrastructure such as enhanced conversions, enhanced conversions for leads, and advanced usage of AI offerings, Google Ads Data Manager, sGTM, PAIR, etc.
• Serve as the primary point of contact on durable ad measurement and first-party data ingestion in Google platforms. Educate, drive influence, and build relationships with stakeholders through measurement subject matter knowledge.
• Orchestrate the execution of tech projects through both internal and external implementation partners.