EMEA Marketing Measurement Lead

About the job

As the EMEA Marketing Measurement Lead, based in London, you will lead the measurement team responsible for evaluating and optimizing Google's marketing investments across Europe, the Middle East, and Africa (EMEA). Acting as an advertiser, Google Marketing runs full-funnel campaigns to build brand equity and drive performance across critical product areas, including hardware and core consumer services.

In this pivotal role, you will lead and deliver advanced measurement, implement models, develop key metrics, and build statistical frameworks to measure marketing incrementality, media effectiveness, and overall business impact. You will act as a key partner to EMEA Marketing Leadership, Finance, and Product Area teams, bridging investigative mastery with business strategy to guide media planning and allocation to drive impact and growth.

Responsibilities

• Drive the development of measurement roadmap to solve complex data questions for EMEA campaigns. Define data requirements, frameworks, and regional strategy to scale media measurement efforts.
• Set and achieve ambitious measurement goals aligned with global marketing objectives. Drive AI transformation to enhance productivity, creativity, and innovation, while upholding Google's AI Principles.
• Oversee the analysis and interpretation of high-dimensional datasets to deliver actionable results. Act as a domain expert to review statistical analyses, methodologies.
• Partner with cross-functional leadership (including Media CoE, Finance, Product Areas) to guide marketing budget allocation, answer complex statistical questions, and ensure decision-making is aligned with objectives.
• Manage and coach a high-performing team of Business Data Scientists and Analysts. Advocate knowledge sharing, collaboration, and solution reuse across Google’s broader marketing analytics and data science communities.

Minimum qualifications:

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
  
• 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
  
• 3 years of experience in people management, in leading, mentoring, and developing technical and analytical teams.
• Experience writing, reviewing, and maintaining code for data manipulation and analysis using programming languages (such as Python, R, SQL).
• Experience presenting to non-technical audiences.

Preferred qualifications:

• PhD in a quantitative fields such as Statistics, Mathematics, Economics, Operations Research, Data Science.
• Experience in advanced marketing measurement methodologies (e.g., conversion lift, geo-experiments, Media Mix Modeling, brand lift studies) for a major regional or global brand.
• Experience collaborating cross-team to define data requirements, analyze product metrics, resolve data gaps.
• Proficiency managing large, complex datasets.
• Knowledge of statistics (e.g., causal inference, predictive modeling, survey methodology) to solve multi-dimensional, complex business problems.
• Excellent communication, executive-influence skills, with an ability to translate complex quantitative findings into actionable insights for executive leaders.

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
  
• 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
  
• 3 years of experience in people management, in leading, mentoring, and developing technical and analytical teams.
• Experience writing, reviewing, and maintaining code for data manipulation and analysis using programming languages (such as Python, R, SQL).
• Experience presenting to non-technical audiences.

In most instances, this position requires in-person interviews as part of the hiring process.