Join Google's Large Customer Sales (LCS) team as a Marketing Science Lead, acting as a strategic partner to leading global brands and agencies. You'll influence market-shaping strategies and drive significant business growth by leveraging Google's advertising solutions across Search, YouTube, and Measurement. This role offers a unique opportunity to work at the forefront of technology, collaborate with executives, and deliver tangible results for major global businesses.

As a key member of the LCS team, you will be instrumental in shaping how clients approach their business challenges and how Google can effectively support their growth objectives. You will navigate profound industry shifts and achieve outstanding business performance through the strategic application of Google's comprehensive advertising suite.

Develop and execute robust joint measurement plans for advertisers and agencies, incorporating data foundations, incrementality experiments, Marketing Mix Modeling (MMM), full-funnel measurement, and attribution frameworks to effectively demonstrate media value.

Act as a trusted technical advisor to senior analytics, finance, and marketing leaders. You will challenge existing norms, cultivate executive partnerships, and present compelling data-driven narratives to influence critical business decisions.

Lead the commercial engagement for key data and measurement opportunities across Google Ads and Google Marketing Platform (GMP) products. Drive feature adoption, scale AI innovations, and accelerate business growth by effectively promoting Google's advanced solutions.

Advise clients on privacy-resilient data foundations by promoting the implementation of Google's tagging infrastructure (gTag, GTM, server-side GTM) and advanced first-party data (1PD) solutions. This includes integrations with Data Manager API and Google Cloud to ensure resilient signal capture.

A Bachelor's degree or equivalent practical experience is required.

We seek candidates with a minimum of 8 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.

Proven experience working with partners to address technical challenges and identify opportunities, particularly in selling AdTech/MarTech solutions.

Demonstrated ability to quantify the return on investment (ROI) for advertising spend through experimental methods such as A/B testing, Geo experiments, User lift experiments, advanced attribution models (SKAN, MTA), or statistical methods like Causal Inference and MMM.

Preferred qualifications include a Master's degree in a quantitative field (e.g., Data Analytics, Economics) or an MBA with a focus on quantitative methods.

Experience consulting directly with clients, advising on advertising's business impact, and collaborating with external measurement vendors to align stakeholders and advocate for optimal solutions.

Expertise in 1PD strategies, customer data infrastructures, and the Google measurement ecosystem, including Google Analytics, Google Ads, tagging systems, and relevant APIs.

Familiarity with brand and performance measurement frameworks, marketing experiments, incrementality testing, causal impact analysis, MMM, and MTA is highly desirable.

Knowledge of various advertising channels (online and offline) and brand analysis techniques, along with the application of modern AI-powered marketing tools.