Lola Blankets is seeking a leader to spearhead digital transformation in our industrial environments. In this role, you will bridge the gap between Operational Technology (OT) and IT, integrating asset management and ERP systems to enable smarter, safer, and more efficient manufacturing operations.

What You'll Do

Lead and coordinate the integration of Asset Management Performance Systems with Plex ERP.
Enhance preventive maintenance and shop floor visualization capabilities.
Enable real-time, AI-driven alerts and intelligent work instructions.
Bridge the gap between OT and IT, ensuring seamless interoperability.
Support operational readiness through project leadership, system integration, and stakeholder engagement.
Plan, manage, and execute OT projects focused on asset performance and ERP integration.
Oversee data and functional integration between systems.
Design and implement predictive and preventive maintenance solutions.
Coordinate AI tool implementation for intelligent alerts and workflows.
Enable real-time visualization of asset health and performance KPIs.
Lead training and user adoption initiatives.
Serve as the primary liaison between vendors, stakeholders, and technical teams.
Report regularly on project milestones, risks, and outcomes.

What We're Looking For

Bachelor’s degree in Engineering, Information Systems, Industrial Technology, or related field (preferred).
5+ years of project leadership experience in manufacturing, industrial automation, or OT/IT systems.
10+ years in OT/IT Systems roles.
Proven experience integrating ERP systems (preferably Plex) with manufacturing or maintenance systems.
Strong understanding of OT systems, industrial network protocols, and shop floor technologies (SCADA, PLCs, sensors).
Awareness of Customer Specific Requirements for the Automotive Industry.
Knowledge of automotive specifications (IATF-16949, ISO 9001).
Awareness of ISO 14001 (Environmental), OH&S (Occupational Health & Safety), and TISAX (Information Security).

Nice to Have

Experience with Plex Maintenance Module and/or Mach2.
PMP, Agile, or equivalent certification.
Familiarity with CMMS/EAM platforms, preventive maintenance, and equipment performance monitoring.
Working knowledge of AI/ML applications in industrial settings.
Experience with Industry 4.0, IIoT, and smart manufacturing concepts.
Hands-on experience with visualization tools like Power BI or Ignition.
Familiarity with AI platforms, natural language processing, or automation scripting.