As a Razor Labs Technical Project Manager, you will primarily focus on overseeing technological projects within the mining sector, directly at the mining sites alongside the client. This role entails close collaboration with clients, ensuring their needs are met throughout the project lifecycle.Responsibilities include project planning, resource allocation, management of suppliers, procurement management, interface with integrators and work with international teams.

Your expertise in project management methodologies and technical understanding will be pivotal in driving project efficiency and excellence. In addition, this position requires flexibility in working hours.

• 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 through to implementation, particularly in on-site environments. Ability to coordinate cross-functional teams and manage project timelines effectively.
• Experience working with international companies.
• 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.
• Fluent in Spanish and English (written and spoken)

Advantages:

• Technical Expertise in Data Analysis: Proficiency in data-related fields for mining and processing assets.
• Familiarity of telemetry from mobile fleet sensors, inspection data, tire data, etc.
• Expertise in condition monitoring, vibration analysis, thermography, and lubricant analysis within heavy industrial environments.
• Direct experience in mobile fleet operations or maintenance is highly desirable.
• 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.