Global Head Of Measurement And Optimization, Data & Tech

Dentsu

New York, New York, United States
$261,500 -$316,250; bonus/equity: discretionary in...
Fully remote
Enterprise analytics product strategy
Ai product management
Cross-functional team leadership
The Global Head of Measurement and Optimization, Data & Tech is responsible for shaping and executing the strategic vision for dentsu’s analytics product suite, leading the development and delivery of enterprise analytics capabilities that drive business transformation

Job Summary

  • The Global Head of Measurement and Optimization, Data & Tech is responsible for shaping and executing the strategic vision for dentsu’s analytics product suite, leading the development and delivery of enterprise analytics capabilities that drive business transformation.
  • Success is measured by the creation and delivery of scalable, intelligent, and value-driven analytics solutions that leverage automation, insights, and advanced analytics to achieve organizational goals.
  • Benefits available with this position include: Medical, vision, and dental insurance, Life insurance, Short-term and long-term disability insurance, 401k, Flexible paid time off, At least 15 paid holidays per year, Paid sick and safe leave, and Paid parental leave.

Matching Summary

The Global Head of Measurement and Optimization, Data & Tech is responsible for shaping and executing the strategic vision for dentsu’s analytics product suite, leading the development and delivery of enterprise analytics capabilities that drive business transformation.

Salary

$261,500 -$316,250; Bonus/Equity: discretionary incentive compensation; Benefits: Medical, vision, and dental insurance, Life insurance, Short-term and long-term disability insurance, 401k, Flexible paid time off, At least 15 paid holidays per year, Paid sick and safe leave, and Paid parental leave

Skills & Requirements

Must-have

  • enterprise analytics product strategy
  • AI product management
  • cross-functional team leadership
  • marketing analytics tech
  • first-party data strategy
  • cross-channel performance measurement

Nice-to-have

  • data-driven decision-making evangelism
  • modern agile workforce development
  • responsible AI frameworks

Key Requirements

  • Bachelor’s degree in Business, Computer Science, Data Science, or related field
  • 8+ years of experience in data product management, analytics, or strategy
  • 5+ years in a senior or leadership role
  • Proven experience leading large-scale analytics or AI initiatives
  • Strong understanding of modern data ecosystems
  • Deep expertise in marketing mix modeling (MMM) and multi-touch attribution (MTA)
  • Advanced knowledge of audience analytics, segmentation, and data enrichment techniques
  • Expert in connecting marketing performance metrics to business outcomes
  • Deep understanding of predictive analytics and forecasting models
  • Expertise in first-party data strategy and integration
  • Advanced proficiency in dashboarding, visualization, and storytelling
  • Deep knowledge of cross-channel performance measurement
  • Working knowledge of machine learning lifecycle management
  • Exceptional stakeholder management, storytelling, and influence skills
  • Experience defining enterprise AI strategy or building AI-enabled products
  • Familiarity with LLMs, NLP, and generative AI use cases

Work Rights

Not specified

Tailored Resume

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