Google's advertising solutions empower businesses of all sizes to thrive. This role requires a passion for sales, a strong grasp of online media, and a dedication to ensuring customer success.

You will act with ownership, navigate change with agility, and employ innovative strategies to achieve exceptional, incremental results for both Google and its clients. Building trusted client relationships is key, involving understanding their business needs and translating them into impactful solutions for their ambitious goals.

Collaborate with sales teams, shape the future of advertising in the AI era, and make a significant impact on countless companies and users who entrust Google with their most critical objectives. Google's gTech team brings its innovative products and services to life, supporting global customers with technical expertise, product knowledge, and a deep understanding of their unique challenges.

Develop a profound understanding of client marketing and business objectives, crafting sophisticated Key Performance Indicators (KPIs) aligned with their maturity. Lead the comprehensive execution of measurement studies, including Conversion Lift, Brand Lift, XNR, and Geo-based Experiments, ensuring statistical significance on 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 guide high-level channel strategies and optimize budget allocation.

Reconcile diverse data sources such as Media Mix Modeling (MMM), Multi-Touch Attribution (MTA), and Incrementality to present a cohesive view of media effectiveness, assisting clients in adapting to evolving third-party measurement standards. Partner with In-Market Sales and Product Specialist teams to effectively communicate complex measurement results to client leadership.

A Bachelor's degree or equivalent practical experience is required, alongside a minimum of 5 years of experience in marketing analytics, return on investment, and statistical analysis. Demonstrated experience in designing and executing incrementality studies and A/B testing frameworks is essential.

Proficiency in managing relationships with both external and internal stakeholders, coupled with the ability to own a portfolio of customers, is crucial for this role. Preferred qualifications include expertise in SQL, Python, or R for data modeling and insight extraction from complex datasets.

Experience in defining measurement frameworks for mid-funnel and audience acquisition goals, extending beyond traditional last-click conversion tracking, is highly valued. Specialized knowledge in Media Mix Modeling (MMM), Incrementality, and Multi-Touch Attribution (MTA) tools, with the capacity to validate and integrate findings from multiple measurement sources, is a significant advantage.

A comprehensive understanding of technical trends in privacy-safe measurement, conversion analytics, and attribution best practices is also preferred.