معادن تعلن عن وظيفة مدير الذكاء الاصطناعي الصناعي في الرياض

Why This Role Matters

What You Will Deliver

Industrial AI Strategy & Portfolio

• 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.

Operational Performance & Value

• 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.

Scalable AI & Technology Integration

• 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.

Governance & Operational Assurance

• 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.

People, Partnerships & Enterprise Adoption

• 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.

What Success Looks Like

• A prioritized Industrial AI portfolio delivers demonstrable operational and financial value aligned with Ma’aden’s strategic priorities.
• AI solutions contribute measurable improvements in safety, productivity, recovery, reliability, process stability, energy efficiency, cost, and sustainability.
• High-value AI use cases progress successfully from experimentation into production, sustained adoption, and operational ownership.
• Industrial AI solutions demonstrate reliable performance with effective governance, cybersecurity, responsible AI, and operational assurance.
• Enterprise AI, Digital, OT, IT, and operational teams operate through clear interfaces that accelerate delivery and reduce duplication.
• A high-performing Industrial AI function develops strong technical and domain capability, with effective leadership succession, knowledge transfer, and external partnerships.

Minimum Qualifications

• 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 preferred.

Experience

• 15+ years of relevant experience, including at least 7 years in AI, advanced analytics, optimization, automation, or digital transformation.
• Experience within mining, metals, energy, manufacturing, or another asset-intensive industrial environment is strongly preferred.
• Demonstrated experience leading multidisciplinary teams and delivering scalable, production-grade AI solutions with measurable operational impact.
• Experience leading complex initiatives from strategy and use-case prioritization through deployment, operational adoption, stakeholder alignment, and benefits realization.

Skills That Matter

• Industrial AI strategy and portfolio management
• Artificial intelligence, machine learning, GenAI, NLP, LLMs, and Agentic AI
• Optimization, computer vision, and predictive and prescriptive analytics
• Mining, mineral processing, and industrial operations
• Operational technology, control systems, historians, and digital twins
• MLOps and AI model lifecycle management
• Responsible AI, cybersecurity, data governance, and operational risk
• Business case development and benefits realization
• Executive stakeholder influence and change leadership
• Talent development and strategic partnership management