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Senior Technical Project Manager

Razor Labs

Razor Labs

IT, Operations
Sydney, NSW, Australia · Sydney, NSW, Australia
Posted on Sunday, June 9, 2024


As a Senior Technical Project Manager at Razor Labs, you will oversee technological projects within the mining sector, primarily at client sites across Australia. This role requires close collaboration with clients to ensure their needs are met throughout the project lifecycle. Responsibilities include project planning, resource allocation, management of suppliers, procurement management, interfacing with integrators, and working with international teams. Your expertise in project management methodologies and technical understanding will be pivotal in driving project efficiency and excellence. Flexibility in working hours is also required for this position.


  • At least 5 years of experience in a project management role within the mining, heavy machinery, or similar industrial sectors.
  • Demonstrated experience in leading technical projects from conception to implementation, particularly in on-site environments.
  • Ability to coordinate cross-functional teams and manage project timelines effectively.
  • Strong communication skills to act as the primary point of contact between the client and the technical team.
  • Ability to negotiate, persuade, and ensure project alignment with client expectations.
  • Hands-on experience with on-site project execution, including the deployment of technology solutions in remote or challenging environments.
  • Capability to identify, analyze, and solve complex technical problems related to machinery operation, sensor integration, and data interpretation.
  • Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, or a related technical field. Specialization in mechanical engineering is a plus.


  • Technical Expertise in Data Analysis: Proficiency in data-related fields for mining and processing assets.
  • Expertise in condition monitoring, vibration analysis, thermography, and lubricant analysis within heavy industrial environments.
  • Proficiency in project management software and data analysis tools. Familiarity with AI and machine learning applications is an asset.
  • Professional Certification: PMP (Project Management Professional) or equivalent certification demonstrating project management expertise.