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Senior Engineer – Mechanical Fleet Monitoring
Switzerland Global EnterpriseSenior Engineer overseeing fleet monitoring and diagnostics at GE Vernova. Driving modernization and efficiency through digital and AI-enabled solutions.
About the role
Key responsibilities & impact- Support the installed base through fleet monitoring and diagnostics, customer issue resolution, outage management, service bulletin implementation, fleet configuration, and fleet data maintenance
- Monitor fleet performance indicators and operational data to identify emerging issues, recurring trends, and opportunities to improve reliability, availability, and maintenance outcomes
- Lead root cause investigations and develop data-driven recommendations to resolve fleet and customer issues
- Drive continuous improvement in fleet monitoring processes, standard work, and team operating rhythms to improve efficiency, consistency, and quality of technical outcomes
- Identify and implement opportunities to improve data quality, alert effectiveness, prioritization methods, diagnostic workflows, and knowledge management practices
- Support the development and adoption of digital, analytics, automation, and AI-enabled solutions that improve anomaly detection, issue triage, decision support, knowledge capture, and engineer productivity
- Partner with engineering, services, digital, and cross-functional teams to define use cases, requirements, and implementation plans for advanced monitoring, analytics, and AI initiatives
- Contribute to modernization of fleet monitoring capabilities through automation, standardization, and practical application of data, analytics, and AI tools
- Use engineering judgment and technical expertise to solve complex operational and product-related issues using multiple internal and external sources of information
- Serve as a technical resource, best-practice leader, and capability builder for the team by sharing knowledge, creating guidance, and supporting development of less experienced colleagues
- Help train the team on new digital workflows, analytics methods, and AI-assisted monitoring approaches to accelerate adoption and build long-term capability
- Communicate technical findings, risks, and recommendations clearly to stakeholders across functions and levels of the organization
- Lead or support projects of moderate scope and complexity related to fleet performance, monitoring effectiveness, process improvement, digital enablement, and AI adoption
- Help identify opportunities to create or refine tools that improve fleet monitoring efficiency, consistency, and decision quality
Requirements
What you’ll need- Significant experience in Engineering/Technology, Fleet Management, Monitoring & Diagnostics, Services Engineering, or related technical disciplines
- Strong experience in fleet monitoring, diagnostics, reliability, maintenance, or services engineering
- Demonstrated ability to drive continuous improvement and implement process enhancements in an operational or engineering environment
- Experience working with digital tools, data analytics, automation, or AI-enabled technologies to improve technical or operational outcomes
- Demonstrated ability to build, implement, or improve tools, workflows, or decision-support solutions
- Strong analytical and problem-solving skills with demonstrated ability to analyze and resolve complex issues
- Strong oral and written communication skills
- Strong interpersonal skills with the ability to collaborate across functions and influence without direct authority
- Demonstrated ability to lead projects and execute on improvement initiatives
- Ability to coach, train, and develop others in new processes, tools, and technologies
- Familiarity with data quality management, monitoring logic, alerting strategies, and performance metrics
- Established project management skills
Benefits
Comp & perks- No relocation assistance provided
- Remote position
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analyticsautomationAI-enabled technologiesmonitoring & diagnosticsreliability engineeringmaintenance engineeringprocess improvementdecision-support solutionsfleet managementengineering judgment
Soft Skills
analytical skillsproblem-solving skillsoral communicationwritten communicationinterpersonal skillscollaborationinfluence without authorityproject managementcoachingtraining