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EMEA Marketing Measurement Lead

Google· EMEA Marketing
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Hybrid (London)Full-timePosted 3w ago

About the role

Lead the measurement team responsible for evaluating and optimizing Google's marketing investments across Europe, the Middle East, and Africa (EMEA); develop measurement strategies, models, and frameworks to measure marketing incrementality and media effectiveness, partnering with cross-functional teams to guide budget allocation and drive business impact.

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.

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.

Skills

Required:Analytics and statistical analysisPython, R, SQLData storytelling / presenting to non-technical audiences

Benefits

  • Not specified in the description.
Last updated Oct 23, 2026. Interested? Apply on the company site.

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