Industrial Engineer - Lean Productivity & Process

Stellantis NV; Toluca; Presencial; MXN 260.000 - 380.000; Jornada completa

Descripción de la vacante

Stellantis NV in Toluca, Mexico, is seeking an Industrial Engineer to support manufacturing productivity and continuous improvement initiatives. You will analyze Model Year Process Sheets, implement changes and participate in future programs, using AMPS for time and material tracking.

Responsibilities include standardizing methods, balancing workloads, controlling overtime, and updating KPIs to drive efficiency across production lines.

Formación

• Experience as Industrial Engineer in a plant setting with focus on continuous improvement.
• Proficiency in lean manufacturing and productivity analysis.
• Familiarity with MTM-UAS, Modapts, AutoCAD, SolidWorks and Teamcenter.

Responsabilidades

• Evaluate Model Year Process Sheets to support budget submission using AMPS and time analysis.
• Review and implement Model Year changes.
• Participate in WPI/OTP for future programs.
• Improve productivity by eliminating waste and balancing workloads.
• Update AMPS 3 to maintain headcount, times, scroll, material usage and vehicle safety.
• Deliver standardized documentation to production areas using AMPS (SWI).
• Define standards for required and non-productive materials; standardize methods between teams.
• Manage manpower authorization and update Productivity KPIs.
• Overtime control and approval.

Conocimientos

Industrial Engineer experience

Continuous Improvement

Operational Excellence

Lean Manufacturing

Herramientas

MTM-UAS

Modapts Office

Google Apps

AutoCAD

SolidWorks

Teamcenter

Descripción del empleo

Stellantis NV in Toluca, Mexico, is seeking an Industrial Engineer to support manufacturing productivity and continuous improvement initiatives. You will analyze Model Year Process Sheets, implement changes and participate in future programs, using AMPS for time and material tracking.

Responsibilities include standardizing methods, balancing workloads, controlling overtime, and updating KPIs to drive efficiency across production lines.