Manager, Exploration & Mining Artificial Intelligence - Acting

Maaden, established in 1997, is one of the fastest-growing mining companies in the world and the largest multi-commodity mining and metals company in the Middle East. We are leading the development of the mining industry to become the third pillar of Saudi Arabia’s economy by building a world-class, unique, and fully integrated mining value chain. We are pleased to share an exciting opportunity for the below mentioned position. This role offers a chance to contribute to our ambitious growth and play a key part in shaping the future of mining in the Kingdom. Why This Role Matters 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 & 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. What You Will Deliver Shape the Exploration & Mining AI Portfolio - 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. Develop and Deploy Exploration & Mining AI Solutions - 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. - Improve Exploration and Mining Performance - 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. Integrate AI into Mining Environments - 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 & 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. Drive Adoption and Value Realization - 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 Team and Capability Development - 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. What Success Looks Like

Minimum qualifications and requirements are not explicitly separated in the posting. No distinct 'Requirements', 'Qualifications', 'What you need', or 'Minimum qualifications' section is clearly provided.

Lead and manage 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. Shape and maintain a prioritized portfolio of Exploration & Mining AI use cases; assess opportunities based on business value, feasibility, data readiness, scalability, risk, and adoption requirements; define objectives, roadmaps, resources, benefits, and success measures. Design, develop, test, deploy, and continuously improve AI, ML, optimization, computer vision, and geospatial analytics solutions; enable exploration targeting, geological interpretation, resource estimation support, mine planning and blasting optimization, fleet productivity, ore tracking, and real-time decision support; ensure production-readiness, scalability, maintainability, explainability, and alignment with requirements. Collaborate with cross-functional teams (exploration, geology, mine planning, technical services, mining operations, maintenance, safety) to identify and solve high-value challenges; apply predictive and prescriptive analytics to improve discovery, 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. Coordinate integration of AI with geoscience platforms, mine planning systems, fleet management systems, OT, historians, asset platforms, enterprise apps, and digital twins; work with Enterprise AI and ML Ops teams to use approved platforms, reusable components, deployment pipelines, monitoring, and governance standards. Ensure deployed models are monitored for performance, reliability, drift, availability, and value. Embed AI outputs into exploration workflows, services processes, dispatch, planning cycles, and management decisions; lead user engagement, change management, training, and knowledge transfer to support adoption and ownership. Track benefits and report performance against safety, discovery, planning, production, productivity, reliability, cost, and sustainability metrics. Lead a multidisciplinary team combining AI, data science, geoscience, mining engineering, and operations; set priorities, standards, expectations, and development plans; build capability through coaching, communities of practice, partnerships, and knowledge transfer. Ensure governance, safety, data governance, model governance, responsible AI, quality, and operational risk are maintained; manage scope, budget, schedule, quality, and performance; maintain documentation, portfolio reporting, benefit tracking, and stakeholder communication.