Global Head Of Measurement And Optimization, Data & Tech

Carat Australia

New York, United States
Base: $261,500 -$316,250; bonus/equity: eligible f...
Fully remote
Enterprise analytics product strategy
Analytics product portfolio management
Operationalize machine learning models
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 defining and executing the enterprise analytics product strategy, shaping and managing a portfolio of analytics products, and leading a globally distributed team to foster innovation and continuous improvement.
  • Benefits available with this position include medical, vision, and dental insurance, life insurance, disability insurance, 401k, flexible paid time off, at least 15 paid holidays, 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, and Paid parental leave

Skills & Requirements

Must-have

  • Enterprise analytics product strategy
  • Analytics product portfolio management
  • Operationalize machine learning models
  • Cross-functional team leadership
  • Modern data ecosystems and platforms
  • Marketing mix modeling (MMM) and MTA
  • First-party data strategy and integration

Nice-to-have

  • AI governance and ethical AI
  • Generative AI use cases
  • Data-driven decision-making evangelism
  • Agile workforce development
  • Storytelling with data visualization

Key Requirements

  • 8+ years in data product management, analytics, or strategy
  • 5+ years in a senior or leadership role
  • Bachelor’s degree in Business, Computer Science, Data Science, or related field
  • Proven experience leading large-scale analytics or AI initiatives
  • Strong understanding of modern data ecosystems and analytics platforms
  • Deep expertise in marketing analytics
  • Advanced knowledge of audience analytics and segmentation
  • Expert in connecting marketing metrics to business outcomes
  • Deep understanding of predictive analytics and forecasting models
  • Advanced proficiency in dashboarding and visualization
  • Deep knowledge of cross-channel performance measurement
  • Working knowledge of machine learning lifecycle management
  • Exceptional stakeholder management and influence skills
  • Experience defining enterprise AI strategy or building AI-enabled products

Work Rights

Not specified

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