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Industry Digital Transformation Specialist

Job in Toronto, Ontario, C6A, Canada
Listing for: Stir Consulting
Full Time position
Listed on 2026-02-02
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer, Systems Engineer, Data Engineer
Job Description & How to Apply Below
Position: Industry 4.0 Digital Transformation Specialist

Industry 4.0 Digital Transformation Specialist About the job Industry 4.0 Digital Transformation Specialist

Job Title: Manufacturing Digital Transformation Specialist

Location: Toronto, ON
Type: Full-Time | Hybrid
Industry: Advanced Manufacturing / Industry 4.0

About the Role:
Were seeking an experienced Digital Transformation Specialist to drive the evolution of our manufacturing operations into a fully connected, data-driven environment. You willlead the strategy and implementation of smart technologies, ranging from IIoT and automation to AI/ML analytics, in orderto enhance efficiency, quality, and productivity.

What You Will Do:
  • Design and deploy digital factory solutions aligned with Industry 4.0 principles
  • Implement MES, SCADA, ERP integrations, and IoT-enabled systems
  • Identify automation opportunities across production and quality systems
  • Develop AI/ML models for predictive maintenance and process optimization
  • Manage cross-functional projects from concept through execution
  • Collaborate with operations, IT, and leadership to ensure seamless adoption
  • Train teams and support change management initiatives
What You Bring:
  • Bachelor's in Engineering, Computer Science, or related field
  • 5+ years in manufacturing, automation, or digital transformation
  • Proven experience with MES, IIoT, SCADA, PLCs, cloud platforms (Azure, AWS)
  • Skilled in data tools like Python, Power BI, SQL/No

    SQL, and analytics platforms
  • Strong knowledge of lean manufacturing, production workflows, and systems integration
Bonus Points:
  • PMP or Agile/Scrum certification
  • Industrial cybersecurity awareness (IEC 62443, NIST)
  • Experience with AI/ML libraries (Tensor Flow, Scikit-learn) and edge computing
Why Join Us?

You will shape the future of smart factory while collaborating across disciplines, driving meaningful innovation, and working on high-impact initiatives.

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