Manager, Exploration & Mining Artificial Intelligence

Ma'aden Aluminium Company (MAC); Riyadh; On-site; SAR 420,000 - 540,000; Full time

Job summary

Ma'aden Aluminium Company (MAC) is seeking a leader for Exploration & Mining AI to shape the AI portfolio, drive cross-functional collaboration, and deliver scalable AI solutions across exploration, geology, resource modeling, and mine planning. The role partners with OT/IT, engineering, operations, and safety to translate challenges into measurable AI value.

The candidate will guide design, deployment, monitoring, and governance of AI/machine learning, computer vision, and geospatial

Qualifications

• Bachelor's degree in AI, Data Science, CS, mining or related discipline; Master’s preferred.
• 10+ years relevant experience, including 5+ years in AI/advanced analytics, geospatial analytics, mining optimization, or digital transformation.
• Experience leading multidisciplinary teams and delivering AI solutions in exploration or mining environments.
• Progress solutions from use-case definition to production deployment, adoption, and value realization.

Responsibilities

• Shape an prioritized Exploration & Mining AI Portfolio aligned with business strategy.
• Develop and deploy AI/ML solutions for exploration targeting, resource estimation, and mine planning.
• Improve performance by applying predictive and prescriptive analytics across operations.
• Coordinate AI integration with geoscience platforms, mine planning systems, and OT/IT ecosystems.
• Drive adoption, governance, and value realization with stakeholders across the organization.

Skills

AI strategy

Portfolio management

Machine learning

Geospatial analytics

Time-series analytics

Team leadership

Education

Bachelor's degree in AI/Data Science/CS/Mining Eng/Geology/Geomatics/Industrial Eng

Master's degree preferred

Tools

MLOps

Geoscience platforms

Mine planning systems

Job description

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 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

What You Will Deliver

Shape the Exploration &amp Mining AI Portfolio

Develop and maintain a prioritized portfolio of Exploration &amp 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 &amp 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 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

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

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 Production-grade AI solutions adopted and sustained within exploration and mining operations Reliable model performance supported by effective monitoring governance and operational ownership Strong collaboration across exploration geology technical services mining operations maintenance safety OT IT Digital and Enterprise AI A capable and engaged team with strong AI geoscience and mining expertise

Minimum Qualifications

Bachelor s degree in Artificial Intelligence Data Science Computer Science Mining Engineering Geological Engineering Geology Geomatics Industrial Engineering or a related discipline A Master s degree is preferred

Experience

10 years of relevant experience 5 of them in AI advanced analytics geospatial analytics mining optimization automation or digital transformation ideally within mining metals exploration energy or another asset-intensive industry Experience leading multidisciplinary teams and delivering AI or advanced analytics solutions in exploration mining or operational environments Demonstrated experience progressing solutions from use-case definition and development through production deployment adoption and value realization Minimum Qualifications Bachelor s degree in Artificial Intelligence, Data Science, Computer Science, Mining Engineering, Geological Engineering, Geology, Geomatics, Industrial Engineering, or a related discipline. A Master s degree is preferred. Experience 10+ years of relevant experience, (+5 of them in AI, advanced analytics), geospatial analytics, mining optimization, automation, or digital transformation, ideally within mining, metals, exploration, energy, or another asset-intensive industry. Experience leading multidisciplinary teams and delivering AI or advanced analytics solutions in exploration, mining, or operational environments. Demonstrated experience progressing solutions from use-case definition and development through production deployment, adoption, and value realization.

Skills That Matter

Exploration &amp Mining AI strategy and portfolio management Machine learning, optimization, computer vision, geospatial analytics, and time-series analytics Data Science, Artificial intelligence, machine learning, Generative AI (GenAI), optimization, computer vision, Natural Language Processing (NLP), Large Language Models (LLMs) and Agentic AI. Exploration, geology, resource modeling, mine planning, and mining operations Drilling and blasting, fleet optimization, material movement, productivity, and mine safety Predictive maintenance, equipment health, condition monitoring, and asset reliability Geoscience platforms, mine planning systems, fleet management systems, operational technology, and digital twins MLOps, model monitoring, lifecycle management, and production deployment Responsible AI, cybersecurity, data governance, and operational risk Business value realization, benefits tracking, and performance reporting Team leadership, stakeholder management, change management, and communication