OT Manufacturing Systems Analyst: AI-Driven Ops

Flint Hills Resources

Auburn Hills (MI)

Sur place

USD 90 000 - 115 000

Plein temps

Il y a 2 jours
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Résumé du poste

Guardian Glass is seeking a Business Systems Analyst (Operational Technology) to work in Auburn Hills or Carleton, Michigan. The role partners with plant operations, engineering, IT/OT, and business teams to translate needs into scalable technology solutions for manufacturing facilities.

You will drive requirements, coordinate initiatives, and advance manufacturing systems and data across production sites, using Azure DevOps and agile practices while seeking AI-enabled improvements and

Qualifications

  • Experience in business systems analysis within manufacturing or OT environments.
  • Experience eliciting and managing requirements for technical solutions.
  • Experience coordinating cross-functional teams to deliver IT/OT projects.

Responsabilités

  • Identify operational priorities and translate them into clear requirements.
  • Develop business cases, workflows, and actionable requirements for IT/OT teams.
  • Plan IT/OT initiatives using project management and Agile practices.
  • Collaborate across operations, engineering, IT, cybersecurity, data and application teams.
  • Own business and technical requests, clarify needs and drive resolutions.
  • Explore AI-enabled productivity solutions to improve data use and standardize solutions.

Connaissances

Business systems analysis
Manufacturing systems
Operational technology
Industrial automation
Cross-functional collaboration
Azure DevOps

Outils

PLCs
SCADA
Historian platforms
MES
Industrial networking
Power BI

Description du poste

Guardian Glass is seeking a Business Systems Analyst (Operational Technology) to work in Auburn Hills or Carleton, Michigan. The role partners with plant operations, engineering, IT/OT, and business teams to translate needs into scalable technology solutions for manufacturing facilities.

You will drive requirements, coordinate initiatives, and advance manufacturing systems and data across production sites, using Azure DevOps and agile practices while seeking AI-enabled improvements and

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