Quality at the Source Technician: Process & Problem Solving

prysmiangroup; McKinney (TX); On-site; USD 42,000 - 65,000; Full time

Job summary

Prysmian is seeking an Operational Quality Technician to support manufacturing by ensuring quality at the source and driving process verification. You will work closely with Production, Engineering, Maintenance, and Quality teams to prevent defects through audits, FAI support, and process validations.

The role emphasizes prevention, data-driven decision making, and continuous improvement to reduce scrap and rework while maintaining customer requirements.

Responsibilities

• Support manufacturing operations through process monitoring, verification activities, and quality-at-the-source initiatives.
• Lead and participate in shop-floor problem-solving, root cause investigations, and corrective action implementation.
• Conduct process audits and verify compliance with procedures, specifications, and manufacturing requirements.
• Support First Article Inspections (FAI), process validations, and implementation of new or revised products and processes.
• Perform dimensional and process verification measurements to confirm process capability and product conformance.
• Analyze quality data, identify risks and trends, and drive continuous improvement activities that reduce variation, scrap, and rework.
• Collaborate with Production, Engineering, Maintenance, and Quality teams to improve process effectiveness and sustain corrective actions.

Skills

Manufacturing know-how

Quality systems

Root cause analysis

Engineering drawings

Inspection tools

Problem-solving

Cross-functional communication

Tools

Dimensional inspection equipment

Data analysis tools

Job description

Prysmian is seeking an Operational Quality Technician to support manufacturing by ensuring quality at the source and driving process verification. You will work closely with Production, Engineering, Maintenance, and Quality teams to prevent defects through audits, FAI support, and process validations.

The role emphasizes prevention, data-driven decision making, and continuous improvement to reduce scrap and rework while maintaining customer requirements.