Digital Asset Specialist (H/F)

We are looking for a talented young graduate with a strong interest or first experience in railway maintenance who is eager to drive digital innovation in asset management, predictive maintenance and operational reliability. You will play a key role in streamlining the daily delivery of our High-Speed Rail project—from initial studies through to commissioning—and support Canada Rail’s journey to becoming a fully data-driven operator. This role is ideal for someone who understands or wants to understand how trains and infrastructure are actually maintained and who is excited about using data, AI and digital tools to improve safety, availability and lifecycle cost. Based in Montreal (CA), the Digital Asset Management Specialist will drive digital innovation for railway maintenance, he will more specifically: - Identify, structure and coordinate innovation initiatives with maintenance, depot and field teams, with a focus on:                *Predictive maintenance for rolling stock and infrastructure (e.g. traction, braking, doors, HVAC, signaling/telecom assets, track & catenary components)                *Condition-based maintenance and optimization of inspection intervals using operational data                *Health monitoring of critical assets (on-board and trackside) through IoT sensors and event logs                *Digital twins of assets, depots or critical subsystems to simulate failures and maintenance scenarios                *Innovative solutions to reduce service disruptions, improve Mean Time Between Failures (MTBF) and optimize spare parts management - Enable the digitalization of asset management systems by providing support to :                * Definition of data requirements for maintenance from the design and procurement stages (sensors, log files, maintenance logs, CMMS data, RAMS indicators).                * Description of a target Enterprise Asset Management System taking into account the constraints of railway maintenance operations                * Transition planning of existing operator's maintenance systems including ILS, depot and field maintenance systems She / he collaborates closely with all Canada Rail staff and with Cadence innovation team She /he engages actively with the innovation and digital communities at Keolis and SNCF, leveraging their methodologies and expertise to accelerate innovation

Education Engineer / Master degree in Digital Technology, Data/AI, Industrial Engineering or Railway / Mechanical / Electrical Engineering Experience (internship / apprenticeship / junior role) in at least one of the following (preferably in a railway or industrial context)  - Maintenance engineering or asset management - Use of AI, analytics or automation tools to support maintenance or operations - CMMS / EAM systems (e.g. Maximo, SAP PM, Infor, etc.) or maintenance data analysis Soft Skills Capacity to agregate, make connections between people and ideas Adaptability to change