Digital Asset Management Specialist

KeolisMontreal, QC
Onsite

About The Position

Keolis Canada is a leader in public transport, with over 2,000 employees dedicated to providing safe, reliable, and sustainable multimodal mobility solutions across the country. The company is committed to operational excellence, innovation, and customer experience, actively contributing to making travel more accessible and efficient while positively impacting communities and the environment. As a subsidiary of the global Keolis Group, Keolis Canada benefits from the expertise of a Group present in 13 countries with nearly 70,000 employees. This role is for a talented young graduate with a strong interest or first experience in railway maintenance, eager to drive digital innovation in asset management, predictive maintenance, and operational reliability. The specialist will play a key role in streamlining the daily delivery of the High-Speed Rail project, from initial studies through to commissioning, and support Canada Rail’s journey to becoming a fully data-driven operator. This position is ideal for someone who understands or wants to understand how trains and infrastructure are maintained and is excited about using data, AI, and digital tools to improve safety, availability, and lifecycle cost. The role is based in Montreal (CA).

Requirements

  • 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
  • Experience (internship / apprenticeship / junior role) in at least one of the following (preferably in a railway or industrial context): Use of AI, analytics or automation tools to support maintenance or operations
  • Experience (internship / apprenticeship / junior role) in at least one of the following (preferably in a railway or industrial context): CMMS / EAM systems (e.g. Maximo, SAP PM, Infor, etc.) or maintenance data analysis
  • Capacity to aggregate, make connections between people and ideas
  • Adaptability to change

Responsibilities

  • 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)
  • Identify, structure and coordinate innovation initiatives with maintenance, depot and field teams, with a focus on: Condition-based maintenance and optimization of inspection intervals using operational data
  • Identify, structure and coordinate innovation initiatives with maintenance, depot and field teams, with a focus on: Health monitoring of critical assets (on-board and trackside) through IoT sensors and event logs
  • Identify, structure and coordinate innovation initiatives with maintenance, depot and field teams, with a focus on: Digital twins of assets, depots or critical subsystems to simulate failures and maintenance scenarios
  • Identify, structure and coordinate innovation initiatives with maintenance, depot and field teams, with a focus on: 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)
  • Enable the digitalization of asset management systems by providing support to: Description of a target Enterprise Asset Management System taking into account the constraints of railway maintenance operations
  • Enable the digitalization of asset management systems by providing support to: Transition planning of existing operator's maintenance systems including ILS, depot and field maintenance systems
  • Collaborate closely with all Canada Rail staff and with Cadence innovation team
  • Engage actively with the innovation and digital communities at Keolis and SNCF, leveraging their methodologies and expertise to accelerate innovation
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