Head Of Product Data & Analytics - Supply Chain Digital Enablement

Coca-Cola HBC AG

Atlanta, Georgia, United States
Base: $217,400 - $245,300; bonus/equity: annual in...
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10+ years experience in analytics or data science
5+ years leading teams in digital product environments
Deep expertise in a/b testing and causal inference
** Coca-Cola HBC AG is seeking a Head of Product Data & Analytics for its North America Supply Chain Digital Enablement team. The role focuses on leading data-driven practices within product teams to enhance decision-making and operational efficiency through analytics, experimentation, and data science. **

Job Summary

  • This role leads the data discipline within the Product organization, overseeing analysts and data scientists embedded in empowered product teams to transform North America Supply Chain operations.
  • The successful candidate will build a modern product insights capability that shifts teams from opinion-driven to evidence-informed through rigorous experimentation and measurement frameworks.
  • Coca-Cola HBC AG offers a competitive base salary ranging from $217,400 to $245,300 along with annual and long-term incentives for this Atlanta-based position.

Matching Summary

Match Score: 75

** Coca-Cola HBC AG is seeking a Head of Product Data & Analytics for its North America Supply Chain Digital Enablement team. The role focuses on leading data-driven practices within product teams to enhance decision-making and operational efficiency through analytics, experimentation, and data science. **

Salary

Base: $217,400 - $245,300; Bonus/Equity: Annual Incentive 50%; Long-term Incentive 20%; Benefits: Full range of medical, financial, and other benefits offered

Skills & Requirements

Must-have

  • 10+ years experience in analytics or data science
  • 5+ years leading teams in digital product environments
  • Deep expertise in A/B testing and causal inference
  • Experience embedding analysts in cross-functional product teams
  • Fluency with modern data platforms and BI tools
  • Strong background in behavioral data and retention analysis

Nice-to-have

  • Advanced degree in data science or related field
  • Experience building data capabilities in empowered product models
  • Familiarity with AI and agentic systems
  • Background applying quasi-experimental methods
  • Exposure to embedding ML models into customer-facing products

Key Requirements

  • Bachelor's degree in data science, statistics, economics, or computer science
  • Must be currently authorized to work in the United States on a full-time basis
  • No sponsorship provided for employment status

Work Rights

Must be currently authorized to work in the US on a full-time basis

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