Overview
Project Manager Predictive Maintenance – Bussnang at Stadler. You will lead the development and implementation of predictive maintenance use cases across existing and new fleets, including hardware and software refits when needed.
Responsibilities
* Lead the development and implementation of predictive maintenance use cases across existing and new fleets, including hardware/software refits when needed.
* Manage program commercial activities, ensuring alignment with the overall program budget, and regularly report progress to the Management team.
* Monitor KPIs relevant to the program.
* Serve as the primary point of contact for the program and engage with stakeholders (SRS Digital Solutions, SRS Division Management, Maintenance Locations, Manufacturing Divisions, Customers).
* Advocate for predictive maintenance solutions and communicate their benefits and value to internal stakeholders.
* Help develop data-driven maintenance solutions to reduce maintenance costs and build customer-facing digital services, supporting Stadler's overall condition monitoring strategy.
Required Skills
* You have proven experience in complex/large project or program management for new technologies and processes implementation.
* Strong analytical and problem-solving skills with a system engineering mindset to understand projects technically and highlight the value of the program's outcomes.
* Excellent communication and interpersonal skills, with the ability to collaborate effectively with diverse teams.
* Experience in stakeholder management and management reporting.
* A strategic mindset to drive program development toward a sustainable and profitable business.
* A very good command of German and English.
Preferred Skills
* Experience in the railway industry, particularly in rolling stock maintenance.
* Experience in Condition-Based / Data-driven Maintenance with rolling stock or in other industries.
* Experience working with AVIS (automated inspection vehicle systems) or similar.
* Experience with various project management methodologies, including Agile.
* Experience with popular data science and machine learning processes.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
* Project Management and Information Technology
Industries
Railroad Equipment Manufacturing
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