RPA Lead - Supply Chain

StellantisAuburn Hills, MI

About The Position

We are scaling supply chain automation to reduce manual effort, improve execution reliability, and accelerate cycle times. As the RPA Lead, you will be a hands-on builder-designing, developing, and deploying enterprise robotic process automation (RPA) solutions that run critical operational workflows. You will own end-to-end bot delivery (intake, process assessment, solution design, build, test, deploy, monitoring, and continuous improvement) using platforms such as Power Automate and Automation Anywhere. This role partners closely with process mining, data/AI, and business teams to prioritize the automation backlog, manage exceptions, and ensure automations meet security, compliance, and supportability standards.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • 8+ years of professional experience, including 3+ years in supply chain or operations automation
  • Strong experience with enterprise RPA platforms (Power Automate, Automation Anywhere or equivalent)
  • Deep understanding of process design, workflow logic, and exception handling
  • Experience with automation governance, monitoring, and lifecycle management
  • Demonstrated ability to operate independently: scope opportunities, make design decisions, deliver to production, and own support/continuous improvement with minimal oversight
  • Ability to translate business processes into deterministic automation logic
  • Ability to communicate and summarize technical topics for non-technical audience

Nice To Haves

  • Familiarity with supply chain processes is a plus
  • Basic scripting or programming experience (Python, VB, C#) preferred

Responsibilities

  • Lead the design and development of RPA solutions using enterprise RPA platforms (Power Automate, Automation Anywhere)
  • Analyze business processes to identify automation opportunities and standardize workflows
  • Build, test, deploy, and maintain bots that automate repetitive, rule-based tasks
  • Ensure automations are robust, monitored, and compliant with governance standards
  • Partner with process mining, data, and AI teams to integrate automation into broader digital workflows
  • Establish best practices, coding standards, and documentation for RPA development
  • Manage automation backlog and prioritization
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