HOW YOU CAN MAKE AN IMPACT

• 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

HOW YOU WILL CONTRIBUTE

• 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