Red x problem solving expert
Pubblicato il 13-10-2026 - MUVIQ in Italia
About the Company: Muviq is a multinational automotive company specializing in the design, development, and manufacturing of transmission systems and powertrain components for a wide range of markets, including passenger vehicles, commercial vehicles, agricultural machinery, construction equipment, and industrial applications.
About the role:
We are looking for a Red X Problem Solving Expert to join our global engineering organization and become the technical reference for complex manufacturing and quality challenges across our operations worldwide. In this highly visible role, you will lead high-impact investigations, identify the dominant causes of variation, and drive sustainable improvements using the renowned Shainin Red X® methodology and advanced statistical tools. If you are passionate about solving difficult technical problems, influencing cross-functional teams, and making a measurable impact on manufacturing performance, we would love to hear from you.
Responsibilities:
As a Red X Problem Solving Expert, you will:
Lead complex root cause investigations utilizing Shainin Red X® methodology. Drive breakthrough solutions for chronic manufacturing and quality issues. Facilitate cross-functional problem-solving activities across global production facilities. Apply advanced statistical methods including DOE, Regression Analysis, Process Capability Analysis, and Minitab. Identify dominant sources of variation and process instability. Conduct failure analysis of components, assemblies, and manufacturing processes.
Support critical customer escalations and major quality incidents. Coach and develop engineers, quality professionals, and plant teams in structured problem-solving techniques. Standardize and promote best-in-class problem-solving methodologies across the organization. Collaborate closely with Product Engineering, Manufacturing Engineering, R&D;, Operations, and Supplier Quality teams. Support new product launches through proactive identification and mit