Stadler: Project Manager Predictive Maintenance

Stadler offers a wide range of international career opportunities. Here you get the chance to grow beyond yourself, take on responsibility and deliver top performance in committed teams. We are looking for motivated talents who want to shape the mobility of tomorrow with us. Are you ready to achieve great things with us?

• Within the program, you ensure target oriented development of predictive maintenance use cases and their implementation on existing and new fleets including Hardware/Software refits where needed
• Program Commercial Management: you make sure the various activities of the program are on track and aligned with overall program budget and regularly report about the progress to the Management team
• You keep track of relevant KPIs related to the program
• You are the first point of contact to the program and interact with various stakeholders (SRS Digital Solutions, SRS Division Management, Maintenance Locations, Manufacturing Divisions, Customers)
• You are an internal advocate for the cause of predictive maintenance solutions and persuade stakeholders about the benefits and value they can bring
• You help develop data-driven maintenance solutions to improve maintenance cost and to build customer-facing digital services as well as Stadler's overall condition monitoring strategy

• You have proven experience in complex/large project or program management for new technologies & new processes implementation
• Strong analytical and problem solving skills: A system engineering mindset with the ability to understand projects on a technical level 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 the program development toward a sustainable and profitable business
• A very good command of German and English

• Experience in the railway industry, particularly in roiling 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 in various project management methodologies, including AGILE
• Experience with popular data science and machine learning processes

• Financial subsidies for ZVV or SBB travelcard
• Health benefits: subsidies fitness pass and fruit basket
• Support for further training opportunities (financial or part-time)

Jennifer Ruoss
HR Business Partner
+41 79 609 98 26