Marketing Science Lead

About the job

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.

Responsibilities

• Build strong relationships with key client stakeholders, understanding their business objectives and measurement needs.
• Develop, own, and execute comprehensive joint measurement plans for advertisers and agencies, integrating data foundations, incrementality experiments, Marketing Mix Modeling (MMM), full-funnel measurement, and attribution frameworks to show media value.
• Act as a trusted technical advisor to executive analytics, finance, and marketing decision-makers; test the status quo, build executive partnerships, and deliver compelling data stories that influence business decisions.
• Lead the business cycle for prioritized data and measurement opportunities across Google Ads and Google Marketing Platform products, driving feature adoption, scaling AI innovation, and accelerating business growth.
• Understand and pitch privacy-durable data foundations for clients by driving the implementation of Google’s tagging infrastructure (GTM, server-side GTM) and advanced 1PD solutions (Data Manager API, Google Cloud integrations) to ensure resilient signal capture.

Qualifications

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.
• Experience working with partners to identify technical challenges and opportunities, and selling AdTech/MarTech solutions.
• Experience quantifying return on investment (ROI) for advertising spend using: experimental methods (e.g., A/B testing, Geo experiments, User lift experiments), or advanced attribution (e.g., SKAN, MTA), or statistical methods (e.g., Causal Inference, MMM, Statistical MTA).

Preferred qualifications:

• Master's degree in quantitative field like Data Analytics, Economics or an MBA with a focus on quantitative methods.
• Experience in consulting directly with clients, advising on impact of advertising on business outcomes, and building collaborative partnerships with external measurement vendors to align stakeholders and advocate for optimal solutions.
• Experience in 1PD strategies, customer data infrastructures, and Google’s measurement ecosystem-including Google Analytics, Google Ads, tagging systems (gTag, GTM, server-side GTM), and APIs (e.g., Data Manager API).
• Understanding of brand and performance measurement frameworks, with experience executing marketing experiments, incrementality testing, causal impact, Media Mix Modeling (MMM), and Multi-Touch Attribution (MTA).
• Knowledge of online (Search, Display, Video/CTV) and offline (TV, OOH) advertising channels, brand analysis techniques, and the application of modern AI-powered marketing tools.