TechBiz Global GmbH
Team Lead Assembly(m/w/x)
Full-timeOn-siteSenior
Berlin, Hamburg, München, Köln, Frankfurt am Main, Leipzig, Düsseldorf, Stuttgart, Essen, Dresden
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MAMagna
Group Kaizen Leader(m/w/x)
München
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Manual and robotic line rebalancing with SMED and A3 problem solving across seating and component plants. 3-5 years of Lean manufacturing experience in multi-plant operations preferred. Support for multi-site travel, varied process stabilization tasks.
Requirements
- Degree in Engineering, Operations, or equivalent experience
- 3–5+ years in Lean/CI manufacturing
- Experience supporting multi-plant operations (advantageous)
- Knowledge of Lean methodologies
- Familiarity with component-plant processes
- Proficiency with Power BI, SQL/DAX, and MES
- Basic analytics, AI, and ML skills
- Clear communication, facilitation, and leadership
- Ability to manage priorities and lead change
- Analytical and structured problem-solving mindset
- Flexibility and willingness to travel
- Lean and Kaizen leadership experience
- Flow optimization and pull systems knowledge
- MAFACT and standardized work deployment skills
- Data analytics, AI/ML, and BI tools proficiency
- Welding, stamping, CNC, and foam process familiarity
- Change leadership and coaching skills
Tasks
- Lead CI and Kaizen activities across seating and component plants
- Conduct time studies for manual and automated processes
- Rebalance work content for robotic and manual lines
- Facilitate A3 problem solving and root cause analysis
- Perform 5-Why, SMED, and process stabilization activities
- Implement pull systems and Heijunka principles
- Apply flow principles in assembly and component manufacturing
- Optimize production cells and welding lines
- Improve stamping presses and CNC machining centers
- Optimize foam molding and sub-assembly stations
- Reduce changeover times through SMED
- Ensure tool and mold readiness
- Improve material presentation for high-mix environments
- Develop VSMs for upstream and downstream operations
- Create integrated flow maps for JIT seating
- Deploy Standardized Work and visual controls
- Implement TPM, LPA, and stability-building activities
- Support MAFACT audits and global manufacturing standards
- Build Power BI dashboards to track performance
- Monitor OEE, scrap, FPY, and cycle-time variation
- Use AI and predictive tools for quality detection
- Analyze tool wear and cycle-time anomalies
- Identify scrap patterns and maintenance alerts
- Implement digital tier boards and eAndon systems
- Utilize digital Gemba and IoT data capture
- Maintain the CI pipeline and track financial benefits
- Cascade KPIs across all manufacturing areas
- Execute structured daily and weekly performance reviews
- Train teams on Lean and MAFACT principles
- Coach staff on data-driven decision making
- Promote idea systems and best-practice sharing
- Drive collaborative improvement between component and JIT operations
Work Experience
- 3 - 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Power BI
- SQL
- DAX
- MES
- Python
- R
Benefits
Startup Environment
- Engaging and dynamic environment
Mental Health Support
- Employee support and resources
Diverse Work
- Exciting and varied responsibilities
Career Advancement
- Wide range of development prospects
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Magna and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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MAMagna
Group Kaizen Leader(m/w/x)
München
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Manual and robotic line rebalancing with SMED and A3 problem solving across seating and component plants. 3-5 years of Lean manufacturing experience in multi-plant operations preferred. Support for multi-site travel, varied process stabilization tasks.
Requirements
- Degree in Engineering, Operations, or equivalent experience
- 3–5+ years in Lean/CI manufacturing
- Experience supporting multi-plant operations (advantageous)
- Knowledge of Lean methodologies
- Familiarity with component-plant processes
- Proficiency with Power BI, SQL/DAX, and MES
- Basic analytics, AI, and ML skills
- Clear communication, facilitation, and leadership
- Ability to manage priorities and lead change
- Analytical and structured problem-solving mindset
- Flexibility and willingness to travel
- Lean and Kaizen leadership experience
- Flow optimization and pull systems knowledge
- MAFACT and standardized work deployment skills
- Data analytics, AI/ML, and BI tools proficiency
- Welding, stamping, CNC, and foam process familiarity
- Change leadership and coaching skills
Tasks
- Lead CI and Kaizen activities across seating and component plants
- Conduct time studies for manual and automated processes
- Rebalance work content for robotic and manual lines
- Facilitate A3 problem solving and root cause analysis
- Perform 5-Why, SMED, and process stabilization activities
- Implement pull systems and Heijunka principles
- Apply flow principles in assembly and component manufacturing
- Optimize production cells and welding lines
- Improve stamping presses and CNC machining centers
- Optimize foam molding and sub-assembly stations
- Reduce changeover times through SMED
- Ensure tool and mold readiness
- Improve material presentation for high-mix environments
- Develop VSMs for upstream and downstream operations
- Create integrated flow maps for JIT seating
- Deploy Standardized Work and visual controls
- Implement TPM, LPA, and stability-building activities
- Support MAFACT audits and global manufacturing standards
- Build Power BI dashboards to track performance
- Monitor OEE, scrap, FPY, and cycle-time variation
- Use AI and predictive tools for quality detection
- Analyze tool wear and cycle-time anomalies
- Identify scrap patterns and maintenance alerts
- Implement digital tier boards and eAndon systems
- Utilize digital Gemba and IoT data capture
- Maintain the CI pipeline and track financial benefits
- Cascade KPIs across all manufacturing areas
- Execute structured daily and weekly performance reviews
- Train teams on Lean and MAFACT principles
- Coach staff on data-driven decision making
- Promote idea systems and best-practice sharing
- Drive collaborative improvement between component and JIT operations
Work Experience
- 3 - 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Power BI
- SQL
- DAX
- MES
- Python
- R
Benefits
Startup Environment
- Engaging and dynamic environment
Mental Health Support
- Employee support and resources
Diverse Work
- Exciting and varied responsibilities
Career Advancement
- Wide range of development prospects
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Magna and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Magna
Industry
Automotive
Description
Das Unternehmen ist ein Engineering- und Fertigungspartner, der hochqualitative Tanksystemlösungen für PKW und Nutzfahrzeuge anbietet.
Not a perfect match?
- TechBiz Global GmbH
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Full-timeOn-siteExperiencedTaufkirchen, Ottobrunn, München - Carl Zeiss AG
Teamlead Corporate Operational Excellence(m/w/x)
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