Sr Director Data Automation, Supply Chain

Skip to main content. sitemap Profile Sign Out View More Jobs Sr Director Data Automation, Supply Chain Santa Clara, CA, United States Job Identification 341035 Job Category Product and Research Posting Date 07/24/2026, 08:01 PM Role People Manager Job Type Regular Employee Does this position require a security clearance? No Years 6 to 10+ years Applicants Less than 10 applicants Additional Info Visa / work permit sponsorship is not available for this position Applicants are required to read, write, and speak the following languages English Job Description Oracle Cloud Infrastructure (OCI) is seeking a visionary Senior Director of Data and Automation to lead the digital transformation of OCI’s global supply chain operations. This leader will drive the development of advanced data platforms, AI-enabled automation, predictive analytics, and intelligent decision-support systems that enable OCI’s supply chain organization to scale efficiently in support of rapid cloud infrastructure growth.  This role will lead a multidisciplinary organization of data scientists, data engineers, AI/ML experts, and analytics professionals focused on building next-generation automation capabilities across forecasting, supply planning, inventory management, manufacturing operations, logistics, and deployment execution.  The ideal candidate combines deep expertise in supply chain operations with strong technical leadership in AI, machine learning, data engineering, and enterprise-scale automation platforms.  Responsibilities Key ResponsibilitiesAI & Automation StrategyLead the strategy and execution of supply chain automation and digital transformation initiatives across the Supply Chain organization.  Develop and implement AI-driven capabilities that improve operational efficiency, scalability, and decision-making across supply chain functions.  Drive the elimination of manual, non-value-added work through intelligent automation, predictive workflows, and advanced analytics.  Build machine learning models and automation tools supporting forecasting, supply planning, inventory optimization, yield management, logistics, cost management, and manufacturing execution.  Identify opportunities to leverage AI and advanced analytics to improve supply continuity, operational responsiveness, and deployment readiness.  Data Science, Engineering & Analytics Leadership Develop, lead, and grow high-performing teams of data scientists, data engineers, AI/ML specialists, and analytics professionals.  Design tools to oversee the full lifecycle of supply chain including data management, modeling, governance, and visualization.  Develop scalable data architectures and system capabilities supporting real-time operational intelligence and predictive analytics.  Ensure data quality, integrity, and accessibility across global supply chain systems and operational platforms.  Drive adoption of modern analytics, AI, and automation technologies across the organization.  Operational Intelligence & Decision Support Develop advanced metrics, dashboards, and operational control towers that provide end-to-end visibility of the health of the business across supply chain operations.  Build intelligent alerting and alarm systems that proactively identify risks,  issues, and operational bottlenecks requiring intervention, assessment and decision-making.  Design predictive monitoring systems enabling faster escalation management and improved operational resilience.  Deliver executive-level...