Project Manager - Quality Management(m/w/x)

Requirements

• Degree in Industrial, Mechanical, Medical Technology, or comparable technical field, or business/quality-focused degree with technical orientation
• Several years' experience leading cross-functional transformation projects
• Strong expertise in quality assurance and regulated environments
• Knowledge/certifications in quality management (e.g., ISO 9001/13485 Auditor, DGQ, TÜV)
• Project management certifications (e.g., IPMA C/D, GPM, PMI PMP/CAPM, PRINCE2)
• Experience with structured problem-solving methods (e.g., Six Sigma, Lean, FMEA, RCA)
• Experience with digital PLM (e.g., Teamcenter, Windchill), ERP, QMS (e.g., SAP, TrackWise)
• Understanding of regulated industries (medical devices), traceability, compliance (e.g., EU MDR, FDA, ISO 13485)
• Excellent communication, leadership, and negotiation skills
• Ability to summarize and present complex technical matters
• Structured, analytical working style, strong conceptual abilities
• Independent working approach, resource awareness, pragmatic mindset

Tasks

• Plan, execute, and monitor the AIS First in Quality project.
• Lead an interdisciplinary project team.
• Develop a clear project structure.
• Define governance processes.
• Establish transparent communication channels.
• Ensure clear roles, responsibilities, and decision rights.
• Foster cross-functional collaboration.
• Actively remove project roadblocks.
• Manage project timelines, risks, and budget.
• Implement transparent reporting.
• Apply structured change management.
• Derive concrete measures, work packages, and outcomes from the strategy.
• Ensure alignment of digital PLM concepts with operational requirements.
• Prevent fragmented activities through prioritization.
• Maintain focus on high-impact results.
• Coordinate the project with digital and quality initiatives.
• Support cultural shift to data excellence and proactive quality.
• Develop meaningful KPIs.
• Create central dashboards.
• Design data-driven control mechanisms.
• Ensure data use for preventive quality decisions.
• Support lifecycle benchmarking.
• Identify quality improvement levers.
• Engage key stakeholders through structured communication.

Work Experience

Education

Languages

Tools & Technologies