Job Description
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What we offer:
Group Summary:
Job Responsibilities:
We are seeking a results-driven Process Engineer to lead and support operational excellence initiatives within a fast-paced Automotive Tier 1 manufacturing environment. This role is responsible for driving improvements in safety, quality, productivity, cost, delivery, and employee engagement through Lean Manufacturing, Six Sigma, and problem-solving methodologies.
The ideal candidate will work cross-functionally with production, quality, maintenance, engineering, and leadership teams to identify opportunities, eliminate waste, improve processes, and support a culture of continuous improvement throughout the facility.
Key Responsibilities
- Lead continuous improvement initiatives focused on safety, quality, delivery, productivity, scrap reduction, and cost savings.
- Facilitate Lean Manufacturing activities including:
- Kaizen events
- Value Stream Mapping
- 5S
- Standardized Work
- Visual Management
- SMED
- TPM
- Analyze manufacturing processes and production data to identify root causes and implement sustainable corrective actions.
- Utilize problem-solving methodologies such as:
- 8D
- A3
- DMAIC
- Fishbone Diagrams
- PFMEA
- Control Plans
- Support launch activities and process improvement projects for new and existing programs.
- Develop and track Key Performance Indicators (KPIs) related to operational performance.
- Work closely with production and quality teams to improve OEE, throughput, scrap, labor efficiency, and downtime.
- Train and coach team members on Lean principles and continuous improvement tools.
- Support customer and internal audits related to manufacturing processes and operational excellence.
- Drive a culture of accountability, teamwork, and continuous improvement throughout the plant.
- Prepare reports and presentations for plant leadership regarding CI activities and project outcomes.
Qualifications
Required Qualifications
- Bachelor’s degree in Engineering, Manufacturing, Industrial Engineering, or related technical field.
- 3+ years of experience in a manufacturing environment, preferably within Automotive Tier 1.
- Strong knowledge of Lean Manufacturing and Continuous Improvement principles.
- Experience with Six Sigma tools and statistical problem-solving methodologies.
- Understanding of automotive quality standards including IATF 16949 and ISO 14001.
- Proficiency with Microsoft Office Suite, especially Excel and PowerPoint.
- Strong analytical, communication, and organizational skills.
- Ability to manage multiple projects in a fast-paced environment.
Preferred Qualifications
- Six Sigma Green Belt or Black Belt certification.
- Experience with machining, stamping, assembly, injection molding, or automated manufacturing processes.
- Familiarity with ERP/MES systems and data analysis tools.
- Experience leading Kaizen workshops and cross-functional improvement teams.
Awareness, Unity, Empowerment:
At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.
AI-Assisted Screening Disclosure
As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.
Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.
If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.
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