Senior Director, AI Innovation at Monster Energy - ScoutJobs - The AI-curated global job board
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Posted 17 hours ago

Senior Director, AI Innovation

Monster EnergySenior Director, AI Innovation

Requirements

10+ years AI/ML/Automation strategy experience, 3-5 years leading enterprise AI initiatives, Familiarity with Azure AI, OpenAI, or Google Vertex, Bachelor's degree in CS, AI, or related field

Skills

AIMachine LearningAzure

About the role

About the Company

Monster Energy is a brand of risk-takers, trailblazers, and game-changers. We are more than a brand; we are a way of life and a mindset.

Responsibilities

  • Define and lead Monster’s long-term AI vision and enterprise-wide strategy
  • Drive high-impact AI initiatives and breakthrough programs across all business functions
  • Build and oversee the enterprise AI roadmap, including resource allocation and budget management
  • Lead AI education, upskilling, and cultural adoption across the organization
  • Establish enterprise AI governance and risk standards in partnership with Legal and Security
  • Recruit and lead a cross-functional AI innovation team including engineering and data science
  • Drive cross-functional partnerships with Sales, Marketing, Finance, and Operations
  • Represent Monster as a public-facing AI leader at conferences and in strategic vendor discussions
  • Measure impact through KPI frameworks for productivity, cost reduction, and innovation velocity

Requirements

  • More than 10 years of experience in AI, ML, or automation strategy
  • 3-5 years of experience leading enterprise-scale AI initiatives
  • Familiarity with modern AI platforms such as Microsoft Copilot, Azure AI, OpenAI, or Google Vertex
  • Understanding of model architectures, AI agents, and orchestration frameworks
  • Bachelor's degree in Business, Computer Science, AI, Machine Learning, Data Science, or a related field

Preferred Qualifications

  • Master's degree or MBA
  • Executive certifications in AI Leadership from institutions like MIT or Stanford
  • Azure AI or other enterprise AI technology certifications
  • Experience converting business concepts into semantic datasets and AI features
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