Join Razor Labs, a leader in the mining tech sector, specializes in predictive maintenance with our flagship product, DataMind AI. Our AI Sensor Fusion technology forecasts equipment failures, enhancing operational efficiency and safety.
Publicly traded on the Tel Aviv Stock Exchange, we have a strong presence in key mining regions, including Australia and South Africa, where our solutions have driven significant improvements.
As part of our team, you'll collaborate with the brightest minds, tackling the most complex problems and shaping the future of industrial technology. Together, we can build smarter, greener and safer industries of tomorrow.
As a Razor Labs Technical Project Manager, you will primarily focus on overseeing technological projects within the mining sector, directly at client's sites across Africa, and specifically in South Africa. 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.
RequirementsAt 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.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.Advantages:
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.
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