Service Innovation Engineer

Service Innovation Engineer

Job Responsibilities:

• Integrates multi-disciplinary approaches and fundamental service innovation principles to develop robust solutions for technical challenges, ensuring comprehensive problem-solving strategies, working under general supervision.

• Supports to improve and secure the serviceability of released products by actively representing the service organization in the product development process.

• Helps to investigate the serviceability of newly designed products based on defined service requirements, providing recommendations to enhance component serviceability.

• Offers intricate solutions for partial technical problems by synthesizing previous experiences and insights gained from detailed feasibility studies, fostering innovative problem-solving methodologies.

• Contributes to small-scale service innovation projects, overseeing project teams and coordinating project activities to achieve desired outcomes efficiently.

• Communicates alerts to facilitate prompt service delivery for connected and entitled installed bases, enabling swift and effective alert handling and diagnostics by market roles.

• Applies advanced technical expertise and knowledge to address complex problems and challenges within the service innovation domain, leveraging insights to drive continuous improvement and innovation.

• Engages in knowledge-sharing activities and pursues continuous learning opportunities to stay abreast of emerging trends and best practices in service innovation, fostering a culture of growth and development within the team.

• Cultivates a collaborative and innovative work environment, fostering teamwork, creativity, and a proactive approach to problem-solving among colleagues to drive service innovation initiatives forward effectively.

Education:

• Master or Bachelor in: Data Engineering/Electronics/SW/Mechatronics or Biomedical.

• Master candidates can be graduates,

• BSc candidates with a few years of relevant experience (high tech, medical, in fields of service and/or maintenance engineering)  

Preferred Skills:

• Data Analysis & Interpretation

• Broad Engineering affinity beyond the Engineering field of graduation

• Experience in AI (personal/professional)

• Strong networking and communication skills

• Experience or interest in learning / understanding / interpreting Regulatory Requirements and Quality Assurance (QA)

• Test Design

• Continuous Improvement

• Root Cause Analysis (RCA)

• Solution Design & Architecture

• Agile Methodology

How we work together

We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.