Innio

Innio

Repair and Overhaul Production Manager - Machining

Waukesha, Wisconsin, United States · Staff+

H1B sponsorship availableDetected 40 days ago
ERPPower ElectronicsLeadershipMicrosoft Office

About the role

  • INNIO employs over 5,000 people worldwide and is committed to moving energy forward.

Responsibilities

  • Promote and maintain a safe work environment
  • Develop, implement, and maintain a training program for production technicians
  • Support a culture that values quality and drive improvements to ensure a quality product is delivered to our customer.
  • Support both internal and external process audits within our production to maintain and meet ISO compliance.
  • Support machining and assembly by working with technicians and materials team to resolve part and material shortages and ensure production readiness
  • Pro-actively manage engine and component production to ensure on-time delivery
  • Autonomous, results driven and accountable for own actions and takes ownership of decisions
  • Able to influence without authority by motivating, creating understanding and accountability to drive change.

Requirements

  • Bachelor's degree from an accredited university or college with manufacturing related focus or related field (or 5+ years of comparable industry experience)
  • Demonstrated ability to multi-task and coordinate several moderate projects simultaneously
  • Effective problem solver and communicator with the ability to interface with senior leadership with confidence and clarity
  • Experience in ERP transactions in Oracle.
  • Experience in Foundry, Casting, and Machining processes

Benefits

  • INNIO Group is a global distributed energy solutions provider that delivers reliable, flexible, transient, decentralized, modular and efficient power.

Company info

  • What'll make you stand out:

Visa & Work Authorization

  • This role is not eligible for visa sponsorship now or in the foreseeable future.

This listing is sourced directly from Innio's careers page and normalized into a canonical job model.