Manager, Exploration & Mining Artificial Intelligence

Exploration and Mining Artificial Intelligence is essential to improving resource discovery orebody understanding safety planning productivity efficiency and sustainability across Maaden s mining operations As Manager Exploration amp Mining Artificial Intelligence you lead the identification development deployment and adoption of AI solutions across exploration geology resource modeling mine planning drilling and blasting material movement fleet optimization production and mine safety You translate operational challenges into scalable AI solutions and work with exploration mining operations technical services engineering OT IT Digital and Enterprise AI teams to deliver measurable and sustainable value

Develop and maintain a prioritized portfolio of Exploration & Mining AI use cases aligned with business strategy site priorities and operational performance targets Assess opportunities based on business value technical feasibility data readiness scalability operational risk and adoption requirements Define clear use-case objectives delivery roadmaps resource requirements benefits and success measures

Lead the design development testing deployment and continuous improvement of AI machine learning optimization computer vision and geospatial analytics solutions for exploration and mining Enable applications such as exploration targeting geological interpretation resource estimation support mine planning optimization drilling and blasting optimization fleet productivity ore tracking and real-time decision support Ensure solutions are production-ready scalable maintainable explainable and aligned with operational and technical requirements

Partner with exploration geology mine planning technical services mining operations maintenance and safety teams to identify and solve high-value operational challenges Apply predictive and prescriptive analytics to improve discovery targeting orebody understanding plan compliance equipment utilization cycle times material movement productivity and cost performance Support hazard detection fatigue and proximity analytics equipment health insights and risk-informed decision-making for safer and more reliable mining operations

Coordinate integration of AI solutions with geoscience platforms mine planning systems fleet management systems operational technology historians asset platforms enterprise applications and digital twins Work with Enterprise AI and AI amp ML Ops teams to use approved platforms reusable components deployment pipelines monitoring capabilities and model lifecycle standards Ensure deployed models are monitored for performance reliability drift availability and continued business value

Embed AI outputs into exploration workflows technical services processes dispatch and operational practices planning cycles and management decision-making Lead user engagement change management training and knowledge transfer to support effective adoption and sustainable operational ownership Track realized benefits and report performance against safety discovery planning production productivity reliability cost and sustainability measures

Lead and develop a multidisciplinary team combining AI data science geoscience mining engineering and operational expertise Set clear priorities delivery standards performance expectations and development plans for team members Build capability through coaching communities of practice external partnerships and structured knowledge transfer Ensure Governance Safety and Compliance Ensure solutions comply with safety cybersecurity data governance model governance responsible AI quality and operational risk requirements Manage activities within approved scope budget schedule quality and performance expectations Maintain accurate technical documentation portfolio reporting benefit tracking and stakeholder communication

A focused Exploration amp Mining AI portfolio aligned with site priorities and measurable business value Improved exploration targeting orebody understanding safety plan quality production equipment utilization and mining productivity Reduced operational variability cycle time losses unplanned downtime safety exposure and manual decision-making…