Manager, Exploration & Mining Artificial Intelligence

Role overview

Portfolio and solution delivery

• Develop and maintain a prioritized AI use-case portfolio aligned with business strategy, site priorities, and operating targets.
• Assess value, feasibility, data readiness, scalability, risk, and adoption needs; define objectives, roadmaps, resources, benefits, and success measures.
• Lead design, development, testing, deployment, and improvement of AI, machine learning, optimization, computer vision, and geospatial analytics solutions.
• Support exploration targeting, geological interpretation, resource estimation, mine planning, drilling and blasting, fleet productivity, ore tracking, and real-time decisions.
• Ensure solutions are production-ready, scalable, maintainable, explainable, and aligned with operational and technical requirements.

Operational impact and integration

• Partner with exploration, geology, mine planning, technical services, operations, maintenance, and safety teams to address high-value challenges.
• Use 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 safer operational decisions.
• Coordinate integration with geoscience, mine planning, fleet management, OT, historian, asset, enterprise application, and digital twin systems.
• Work with Enterprise AI and AI & ML Ops teams on approved platforms, reusable components, deployment pipelines, monitoring, and model lifecycle standards.

Adoption, leadership, and governance

• Monitor deployed models for performance, reliability, drift, availability, and continued business value.
• Embed AI outputs into exploration workflows, technical services, dispatch, operating practices, planning, and management decisions.
• Lead user engagement, change management, training, and knowledge transfer; track benefits against safety, discovery, planning, production, productivity, reliability, cost, and sustainability measures.
• Lead and develop a multidisciplinary team; set priorities, delivery standards, performance expectations, and development plans.
• Ensure compliance with safety, cybersecurity, data and model governance, responsible AI, quality, and operational risk requirements; manage scope, budget, schedule, and quality.
• Maintain technical documentation, portfolio reporting, benefit tracking, and stakeholder communication.

Minimum qualifications and experience

• 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.
• 10+ years of relevant experience in AI, advanced analytics, geospatial analytics, mining optimization, automation, or digital transformation; related asset-intensive industry experience is desirable.
• Experience leading multidisciplinary teams and delivering AI or advanced analytics in exploration, mining, or operational environments.
• Experience taking solutions from use-case definition through development, production deployment, adoption, and value realization.

Skills and domains

• AI strategy and portfolio management; machine learning, optimization, computer vision, geospatial analytics, and time-series analytics.
• Data science, generative AI, NLP, LLMs, and Agentic AI.
• Exploration, geology, resource modeling, mine planning, drilling and blasting, fleet optimization, material movement, and mine safety.
• Predictive maintenance, equipment health, condition monitoring, and asset reliability.
• Geoscience, mine planning, fleet management, OT, and digital twin systems; MLOps, model monitoring, and production deployment.
• Responsible AI, cybersecurity, data governance, operational risk, value realization, team leadership, stakeholder management, and change management.

Success measures