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
Preferred Skills
- 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