Manager, Exploration & Mining Artificial Intelligence

About the role

Ma'aden, a large multi-commodity mining and metals company in the Middle East, is hiring a Manager, Exploration & Mining Artificial Intelligence in Riyadh. The role leads 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, working with exploration, mining operations, technical services, engineering, OT, IT, Digital and Enterprise AI teams.

Key responsibilities

• Build and maintain a prioritized portfolio of Exploration & Mining AI use cases, assessing them on business value, technical feasibility, data readiness, scalability and risk, and defining objectives, roadmaps and success measures.
• Lead the design, development, testing, deployment and continuous improvement of AI, machine learning, optimization, computer vision and geospatial analytics solutions, including exploration targeting, geological interpretation, resource estimation, mine planning, drilling and blasting optimization, fleet productivity, ore tracking and real-time decision support.
• Partner with exploration, geology, mine planning, technical services, operations, maintenance and safety teams to apply predictive and prescriptive analytics to improve 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 decisions for safer operations.
• Integrate AI with geoscience platforms, mine planning systems, fleet management systems, OT, historians, asset platforms, enterprise applications and digital twins, using approved platforms, reusable components, deployment pipelines and model lifecycle standards, and monitor models for performance, reliability, drift and availability.
• Embed AI outputs into exploration workflows, technical services, dispatch, planning and management decisions, and lead user engagement, change management, training and knowledge transfer.
• Track realized benefits and report 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, setting priorities, standards and development plans.
• Ensure compliance with safety, cybersecurity, data governance, model governance, responsible AI and operational risk requirements, and manage activities within approved scope, budget, schedule and quality.