Join Google's gTech team as a Measurement Implementation Expert and help businesses of all sizes thrive using our advertising solutions. You'll leverage your passion for sales, online media knowledge, and dedication to customer success. Act with ownership and agility, driving innovation to deliver outstanding results for both Google and our clients.

Build strong client relationships by understanding their business needs and translating them into powerful solutions. Collaborate with sales teams to shape the future of advertising in the AI era and make a significant impact on companies and users globally.

Google is committed to creating products that improve the world. Our gTech advisors provide global support, combining technical expertise, product knowledge, and deep customer insight. We develop bespoke solutions and scalable tools to ensure clients maximize the potential of Google products.

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

Lead the end-to-end execution of measurement studies, including Conversion Lift, Brand Lift, XNR, and Geo-based Experiments, ensuring statistical significance on all uplift data.

Employ advanced investigative skills to model experimental results and integrate them into broader media plan Return on Investment (ROI) analyses. Analyze attribute lift across channels to guide high-level channel strategy and budget allocation.

Reconcile diverse data sources such as MMM, MTA, and Incrementality to present a cohesive narrative of media effectiveness, assisting clients in adapting to third-party measurement shifts. Partner with In-Market Sales and Product Specialist teams to communicate complex measurement findings to client leadership.

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

Candidates must possess 5 years of experience in marketing analytics, return on investment analysis, and statistical analysis. Proven experience in designing and executing incrementality studies and A/B testing frameworks is essential.

Demonstrated ability to manage external and internal stakeholder relationships and own a portfolio of customers is expected. Preferred qualifications include expertise in SQL, Python, or R for data modeling, experience with mid-funnel and audience acquisition measurement frameworks beyond last-click tracking, and specialized knowledge in Media Mix Modeling (MMM), Incremental, and Multi-Touch Attribution (MTA) tools.