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AI Solutions Lead - Supply Chain

PepsiCo

$118,700 - $198,800
Sep 23, 2025
Plano, TX, USA • Chicago, IL, USA • White Plains, NY, USA
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PepsiCo is looking to advance its digital transformation strategies and improve customer experience through end-to-end supply chain operations by implementing AI-powered solutions.

Requirements

  • AI technologies (e.g., Generative AI tools, IoT platforms).
  • Managing cross-functional teams and AI projects.
  • External technology vendors and consulting firms.
  • Translating business challenges into AI solutions.
  • Defining KPIs and measuring AI solutions' success.
  • Ability to contribute to AI strategies aligning with corporate goals.
  • Drive innovation and adopt cutting-edge AI technologies.

Responsibilities

  • Shape and advocate for AI strategies centered on digitizing end-to-end supply chain processes and elevating customer experience, ensuring alignment with PepsiCo’s overarching AI Vision.
  • Lead initiatives that exploit AI to enable real-time supply sensing, dynamic supplier collaboration, and predictive scenario planning.
  • Spearhead the development and deployment of AI solutions to revolutionize supply chain processes including demand sensing, touchless planning, real-time quality monitoring, warehouse automation, and predictive maintenance.
  • Develop AI models that support hyperautomation and digital twins, assisting in optimizing procurement, production scheduling, and inventory management.
  • Collaborate intensively with both supply chain and customer service teams, translating their requirements into AI solution frameworks.
  • Ensure cross-functional collaboration with AI engineers, data scientists, procurement teams, manufacturing planners, and logistics personnel to integrate AI solutions seamlessly into supply chain operations.
  • Implement metrics to evaluate the impact and performance of AI-driven supply chain transformations.

Other

  • 8+ years in AI and manufacturing/warehousing.
  • Cross-Functional Leadership: Collaborate and influence across various levels.
  • Change Management: Lead change initiatives and technology adoption.
  • Communication Skills: Articulate complex AI concepts effectively.
  • Results-Oriented: Focus on achieving measurable business outcomes through AI implementations.