Join Google's Large Customer Sales (LCS) team as a Marketing Science Lead, working with top global brands and agencies. You'll be a strategic partner, driving growth by challenging how clients view their businesses and leveraging Google's extensive advertising solutions. This role offers a unique chance to operate at the cutting edge of technology, collaborating with executives and influencing market strategies to deliver significant business outcomes for major global companies and foster Google's expansion.

Define and implement strategic client learning agendas and experimentation roadmaps, utilizing A/B testing, Geo-experiments, and proprietary Google methods to measure and maximize business growth from Google Ads investments.

Translate intricate analytical findings and experimental results into practical, non-technical business recommendations and executive-ready presentations, enabling marketing leaders to drive revenue immediately.

Serve as a trusted consultant, assisting advertisers in auditing and modernizing their data infrastructure to maintain long-term ad performance and automated bidding efficiency amidst privacy changes and signal loss.

Provide guidance on budget allocation and testing feasibility, leading executive reviews and workshops to cultivate investment confidence across sales teams and agency partners.

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

Minimum of 5 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis is essential.

Demonstrated experience working with partners to identify technical challenges and opportunities, coupled with a track record of selling AdTech/MarTech solutions.

An MBA or Master's degree in a quantitative field such as Data Analytics or Economics is preferred. Experience in quantifying ROI and enhancing ad spend ROI through testing and learning, using methods like experimental design, advanced attribution (SKAN, MTA), or statistical modeling (causal inference, MMM) is highly valued.

Experience managing and influencing senior stakeholders by recommending data-driven strategies to improve product and customer strategy for better business outcomes is beneficial. Familiarity with incrementality testing, causal impact analysis, MMM, and MTA is also desirable, along with a solid understanding of brand and performance measurement principles.