Global Head Of Measurement And Optimization, Data & Tech

Dentsu

New York, United States
Base: $261,500 -$316,250; bonus/equity: eligible f...
Fully remote
Enterprise analytics product strategy
Analytics product portfolio 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.
  • Key responsibilities include owning a portfolio of analytics products, defining detailed product strategies and features, prioritizing initiatives based on business value, and ensuring successful execution across global teams.
  • 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

Base: $261,500 -$316,250; Bonus/Equity: eligible for 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, Paid parental leave

Skills & Requirements

Must-have

  • Enterprise analytics product strategy
  • Analytics product portfolio management
  • Cross-functional team leadership
  • Data product lifecycle management
  • Marketing analytics tech and product
  • Cross-channel performance measurement

Nice-to-have

  • AI governance and ethical AI
  • Generative AI use cases
  • Modern data ecosystems
  • Storytelling with data visualization
  • Flexible work collaboration

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
  • Deep expertise in marketing mix modeling (MMM) and multi-touch attribution (MTA)
  • Expert in connecting marketing performance metrics to business outcomes
  • Working knowledge of machine learning lifecycle management (MLOps)

Work Rights

Not specified

Tailored Resume

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