Process Engineer - Process Models and Production Systems

- Develop and maintain a working knowledge of Level 1 systems, Level 2 process models, Manufacturing Execution Systems (MES), and other Process Control & Automation systems supporting mill operations.

- Monitor process models, control systems, and manufacturing data to maintain process stability, product quality, and overall mill health.

- Implement approved mill setup adjustments, including primary data (PDI) modifications within established operating limits, to maintain process stability and product quality.

- Review upcoming production schedules to identify technical risks and recommend mitigation strategies.

- Support Process Models and Quality teams through process analysis, operational feedback, technical investigations, and continuous improvement initiatives.

- Execute, monitor, and evaluate process trials while communicating results and operational observations.

- Develop technical reports, trend analyses, and performance summaries supporting operational and engineering decision-making.

- Serve as the primary operational owner of process monitoring systems by identifying abnormal conditions, validating system outputs, and recommending enhancements that improve process visibility and decision-making.

- Support Level 2 models, MES, and related production systems by monitoring performance, troubleshooting operational issues, and coordinating technical resolution.

- Develop engineering documentation, change notices, and technical recommendations supporting continuous improvement initiatives.

- Provide first-line technical support for Process Control & Automation systems and coordinate with Operations, Automation, Maintenance, and Quality to resolve process-related issues.

- Bachelor of Science degree in Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, Metallurgical Engineering, or a related engineering discipline.

- Strong analytical, troubleshooting, and problem-solving skills.

- Working knowledge of industrial automation, process models, and manufacturing systems.

- Ability to interpret manufacturing data and recognize abnormal process conditions.

- Experience with structured root cause investigations and continuous improvement.

- Effective communication across Operations, Quality, Maintenance, Automation, and Engineering.

- Ability to manage multiple priorities in a fast-paced manufacturing environment.

- Proficiency with Microsoft Office; experience with manufacturing data analysis tools is preferred.

- Willingness to learn and utilize emerging digital manufacturing technologies.