Sr Director Data Automation, Supply Chain

Oracle Oracle · Enterprise · Santa Clara, CA +1

This role leads the digital transformation of a global supply chain using AI-enabled automation, predictive analytics, and intelligent decision-support systems. It involves building and leading teams of data scientists, data engineers, and AI/ML experts to develop next-generation automation capabilities across forecasting, planning, inventory management, manufacturing, logistics, and deployment. The ideal candidate has deep supply chain expertise combined with technical leadership in AI, ML, data engineering, and enterprise automation platforms.

What you'd actually do

  1. Lead the strategy and execution of supply chain automation and digital transformation initiatives across the Supply Chain organization.
  2. Develop and implement AI-driven capabilities that improve operational efficiency, scalability, and decision-making across supply chain functions.
  3. Drive the elimination of manual, non-value-added work through intelligent automation, predictive workflows, and advanced analytics.
  4. Build machine learning models and automation tools supporting forecasting, supply planning, inventory optimization, yield management, logistics, cost management, and manufacturing execution.
  5. Develop, lead, and grow high-performing teams of data scientists, data engineers, AI/ML specialists, and analytics professionals.

Skills

Required

  • AI/ML technologies
  • predictive analytics
  • automation frameworks
  • data engineering
  • SQL
  • Python
  • data modeling
  • ETL/data pipelines
  • business intelligence tools
  • forecasting
  • supply planning
  • inventory management
  • manufacturing operations
  • logistics processes
  • cloud technologies
  • distributed systems architectures
  • leadership
  • communication

Nice to have

  • Oracle Fusion Cloud Applications including SCM, Procurement, Planning, and ERP systems
  • operational dashboards
  • control towers
  • KPI frameworks
  • alerting systems
  • hardware operations
  • manufacturing
  • logistics
  • hyperscale infrastructure environments

What the JD emphasized

  • AI/ML experts
  • AI-driven capabilities
  • machine learning models
  • automation tools
  • advanced analytics
  • AI/ML specialists
  • AI, machine learning, and automation initiatives

Other signals

  • AI-enabled automation
  • predictive analytics
  • intelligent decision-support systems
  • AI/ML experts
  • machine learning models
  • automation tools
  • advanced analytics