Global DES & Digital Twin Lead for Factory Optimization

Vertiv; Monterrey; Presencial; MXN 600.000 - 1.000.000; Jornada completa

Descripción de la vacante

Vertiv seeks a Discrete Event Simulation (DES) Lead to develop and deploy global factory simulation and digital twin capabilities. You will establish standards, govern models, and guide capacity planning, staffing optimization, and scenario-based decisions across Vertiv’s production facilities.

The role requires expertise in DES platforms such as Simio or equivalent, along with data-driven modeling of BoP and manufacturing processes to support investment decisions and operational excellence.

Formación

• Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, Systems Engineering, Operations Research, or related field.
• 2+ years developing complex discrete event simulation models.
• Experience supporting global manufacturing operations.

Responsabilidades

• Develop and execute the global DES and Digital Twin roadmap.
• Lead the global deployment of simulation capabilities across all manufacturing sites.
• Create and maintain discrete event simulation models for assembly, fabrication, test, logistics, warehousing, and material flow operations.
• Provide simulation-based justification for capital expenditures and automation investments.
• Present simulation findings and recommendations to senior leadership.

Conocimientos

Discrete Event Simulation

Factory Simulation

Digital Twin architecture

Capacity modeling

Queuing theory

Statistical analysis

Process optimization

Educación

Bachelor’s degree in Industrial Engineering

Herramientas

Simio

AnyLogic

FlexSim

Arena

AutoMod

Descripción del empleo

Vertiv seeks a Discrete Event Simulation (DES) Lead to develop and deploy global factory simulation and digital twin capabilities. You will establish standards, govern models, and guide capacity planning, staffing optimization, and scenario-based decisions across Vertiv’s production facilities.

The role requires expertise in DES platforms such as Simio or equivalent, along with data-driven modeling of BoP and manufacturing processes to support investment decisions and operational excellence.