Stadler: Program Manager Digital Solutions

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?

As Program Manager Digital Solutions, you shape and guide the predictive maintenance program, transforming fleet data into digital products that enable proactive and efficient service delivery.

• You define and execute the digital roadmap for predictive maintenance and condition monitoring across Stadler's service ecosystem
• You lead cross-functional teams to develop and implement AI-powered analytics solutions, integrating them into existing and new fleets (including hardware/software refits where needed)
• You ensure commercial alignment of the program, manage budgets, and report progress to the Management Team
• You monitor and steer relevant KPIs to measure impact and value creation
• You act as the primary point of contact for the program, engaging with stakeholders across Digital Solutions, Management, Maintenance Locations, Manufacturing, and Customers
• You advocate for data-driven maintenance and digital innovation, communicating the strategic value of predictive analytics and digital services
• You collaborate with data scientists and software engineers to design, validate, and deploy machine learning models for condition-based maintenance and operational optimization

• Proven experience in managing complex programs involving new technologies and process innovation
• Strong analytical and problem-solving skills with a systems engineering mindset and the ability to translate technical insights into business value
• Excellent communication and stakeholder management skills across diverse teams and levels
• Strategic thinking and commercial acumen to drive sustainable digital business models
• Knowledge of agile methodologies and digital product development
• Fluency in German and English

• Experience in the railway industry, particularly in rolling stock maintenance
• Hands-on experience with AI/ML-based condition monitoring or predictive maintenance in industrial environments
• Familiarity with AVIS (automated inspection vehicle systems) or similar technologies
• Understanding of data science workflows and machine learning deployment 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