Join Google's Measurement Center of Excellence as a Measurement Effectiveness Specialist. This role is integral to helping businesses leverage Google’s advertising solutions for growth. You'll be instrumental in maximizing customer success by applying a passion for sales, online media knowledge, and a commitment to innovation.

As a Google gTech trusted advisor, you will bring products and services to life for a global customer base. Your expertise will be rooted in technical skill, deep product knowledge, and a thorough understanding of complex client needs. Whether developing bespoke solutions or scalable tools, your work will ensure clients harness the full potential of Google products.

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Serve as the primary client contact and expert for scaled implementation and execution of all Google measurement products.

Conduct diagnostics, implement solutions, and assess client measurement needs, identifying gaps and addressing them effectively.

Design and execute robust measurement strategies, including A/B experiments, brand lift studies, and incrementality studies, to deliver actionable insights.

Drive industrialization through AI prompts, automation, and cross-functional partnerships to streamline complex measurement workflows, reduce turnaround times, and enhance test yield.

Act as a strategic problem-solver, collaborating across internal and external teams to ensure seamless project delivery and client satisfaction.

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

Minimum of 5 years of experience in digital media, digital marketing/advertising solutions, implementing and measuring digital advertising campaigns, and providing client solutions.

Preferred qualifications include experience with advanced measurement metrics like incrementality and MMM, identifying process gaps, and implementing scalable frameworks or Standard Operating Procedures (SOPs). A comprehensive understanding of Google advertising platforms and the competitive landscape, along with proficiency in statistical analysis, A/B testing, and SQL, is highly beneficial. A proven ability to drive large work streams or transformations is also valued.