Director, Industrial Artificial Intelligence

Industrial Artificial Intelligence enables Maaden to turn operational data and emerging AI capabilities into safer more productive reliable and efficient operations across exploration mining mineral processing and industrial assets

The Director Industrial Artificial Intelligence shapes the strategy and portfolio that convert high-value operational challenges into scalable AI solutions The role connects deep operational priorities with AI data digital OT and engineering capabilities to improve safety productivity recovery reliability process stability energy efficiency and sustainability

The role creates lasting value by moving Industrial AI beyond experimentation into production and sustained operational adoption while building the capabilities governance partnerships and responsible AI practices required to scale impact across Maaden

• Shape and evolve Maaden s Industrial AI strategy and investment portfolio directing resources toward opportunities with the strongest strategic operational and economic value Translate exploration mining processing and asset performance priorities into a balanced portfolio of scalable AI opportunities with clear value feasibility risk and adoption criteria Establish the operating model standards and governance required to scale Industrial AI responsibly and consistently across operations

• Drive measurable improvements across safety productivity recovery reliability process stability cost energy efficiency and sustainability through targeted Industrial AI solutions Advance AI-enabled decision-making across exploration geology mine planning and operations mineral processing process control maintenance and asset performance Move high-value AI initiatives from experimentation through production and adoption to sustained operational ownership and measurable benefits realization

• Lead the development and deployment of production-grade AI capabilities that address complex industrial and operational challenges at scale Enable effective integration of AI with operational technology control systems historians fleet systems digital twins laboratory platforms and relevant enterprise technology Leverage enterprise AI platforms reusable capabilities architecture standards and lifecycle controls to accelerate deployment while reducing duplication and technology risk

• Govern Industrial AI solutions across model performance reliability cybersecurity data governance explainability operational safety and responsible AI requirements Establish transparent portfolio performance value tracking and risk oversight to enable informed investment and scaling decisions Ensure Industrial AI initiatives meet approved quality financial technical risk and performance expectations throughout their lifecycle

• Build and lead an integrated Industrial AI function spanning exploration mining mineral processing and industrial operations strengthening both AI capability and operational domain expertise Build senior partnerships across operations engineering Digital OT IT Enterprise AI and business functions to embed AI into operational decisions and workflows Develop strategic relationships with technology providers OEMs universities research institutions and specialist organizations to accelerate innovation capability development and access to emerging technologies

• Master s degree in Artificial Intelligence Data Science Computer Science Mining Engineering Mineral Processing Engineering or a related quantitative discipline PhD in a relevant discipline is…