Join a team dedicated to empowering businesses with Google's cutting-edge advertising solutions. This role is ideal for individuals passionate about sales, possessing a strong understanding of online media, and committed to driving exceptional customer success.

Act as an owner, navigating change with agility and employing innovative strategies to deliver outstanding, incremental outcomes for both Google and clients. Cultivate trusted client relationships by understanding their business needs and translating them into powerful solutions that achieve ambitious goals.

This position offers the opportunity to collaborate with sales teams, shape the future of advertising in the AI era, and make a tangible impact on a vast number of companies and users who rely on Google for their critical objectives.

Develop a profound understanding of client marketing and business objectives. Design robust measurement strategies and define sophisticated Key Performance Indicators (KPIs) aligned with client maturity.

Lead the comprehensive execution of measurement studies, including Conversion Lift, Brand Lift, XNR, and Geo-based Experiments, ensuring statistical significance for all uplift data. Employ advanced analytical skills to model experimental outcomes and integrate them into broader media plan Return on Investment (ROI) analyses.

Analyze attribute lift across various channels to inform high-level channel strategy and optimize budget allocation. Reconcile diverse data sources such as MMM, MTA, and Incrementality to present a cohesive narrative on media effectiveness, guiding clients through the transition to third-party measurement. Collaborate with In-Market Sales and Product Specialist teams to clearly communicate complex measurement results to client leadership.

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

Possess at least 5 years of experience in marketing analytics, return on investment (ROI) assessment, and statistical analysis. Demonstrable experience in designing and implementing incrementality studies and A/B testing frameworks is essential.

Proven ability to manage relationships with both external and internal stakeholders, coupled with ownership of a customer portfolio. Preferred qualifications include expertise in SQL, Python, or R for data modeling and extracting insights from large datasets, as well as experience defining measurement frameworks for mid-funnel and audience acquisition goals.

Specialized knowledge in Media Mix Modeling (MMM), Incrementality, and Multi-Touch Attribution (MTA) tools, with the capacity to validate and integrate results from multiple measurement sources is highly valued. A deep understanding of technical trends in privacy-safe measurement, conversion analytics, and attribution best practices is also beneficial.