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Program Manager Digital Solutions
Job in
8500, Frauenfeld, Kanton Thurgau, Switzerland
Listed on 2025-11-24
Listing for:
Stadler
Full Time
position Listed on 2025-11-24
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager, AI Engineer
Job Description & How to Apply Below
Program Manager Digital Solutions – Frauenfeld
Join to apply for the Program Manager Digital Solutions – Frauenfeld role at Stadler
Responsibilities- 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
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