ERP & MES Systems Intern — Drive Lean Process Innovation

LivaNova; Arvada (CO); On-site; USD 60,000 - 80,000; Full time

Job summary

LivaNova is seeking a technical professional to provide support for Operations & IT, and to help map and improve ERP/MES workflows. This role emphasizes real-time data integration, cross-functional collaboration, and documentation development.

The position involves design, configuration, testing, data conversion, UAT, and go-live support within a Lean, continuous-improvement environment. Ideal candidates are pursuing a degree in CS/ME/EE/Data Science with strong GPA.

Qualifications

• Bachelor's or master's degree in CS/ME/EE/Data Science or equivalent.
• GPA 3.5 or higher.
• Experience or coursework in workflow mapping, SDLC and project management is preferred.

Responsibilities

• Provide technical support to Operations & IT departments.
• Assist in mapping current/future state workflows with ERP software to streamline processes.
• Assist with MES enhancements for real-time data integration with shop floor equipment.
• Interface with cross-functional teams to develop software user requirements.
• Develop standard procedures, user guides, and training materials.
• Assist with design, configuration, testing, data conversion, UAT and go-live support of ERP/MES implementations.
• Utilize Lean principles to lead continuous improvement initiatives.

Skills

Analytical skills

Data integrity

Problem solving

Workflow mapping

SDLC knowledge

Education

Bachelor's or Master's in CS/ME/EE/Data Science

GPA 3.5+

Tools

SAP

Oracle

MES

Job description

LivaNova is seeking a technical professional to provide support for Operations & IT, and to help map and improve ERP/MES workflows. This role emphasizes real-time data integration, cross-functional collaboration, and documentation development.

The position involves design, configuration, testing, data conversion, UAT, and go-live support within a Lean, continuous-improvement environment. Ideal candidates are pursuing a degree in CS/ME/EE/Data Science with strong GPA.