Director, Industrial Artificial Intelligence

Ma'aden Aluminium Company (MAC); Riyadh; On-site; SAR 180,000 - 280,000; Full time

Job summary

Ma'aden Aluminium Company (MAC) seeks a Director of Industrial Artificial Intelligence to shape the AI strategy and portfolio across mining and processing operations. You will lead the transition from experimentation to production, align AI with OT and enterprise tech, and build governance, partnerships, and responsible AI practices to scale impact across Ma'aden.

The role focuses on safety, productivity, reliability, energy efficiency and sustainability, with senior stakeholder sponsorship and

Qualifications

• Requires a Master’s in AI/Data Science/related field; PhD preferred.
• 15 years of relevant experience with at least 7 years in AI/advanced analytics or digital transformation.
• Experience in mining, metals, energy, manufacturing or asset-intensive environments is strongly preferred.

Responsibilities

• Shape and evolve Industrial AI strategy and investment portfolio across exploration, mining, processing and assets.
• Drive measurable improvements in safety, productivity, energy efficiency and sustainability via AI solutions.
• Lead production-grade AI capabilities and ensure scalable integration with OT/IT systems.
• Govern AI solutions with performance, security, data governance, and responsible AI requirements.
• Build partnerships across operations, engineering, IT, and external technology providers to scale adoption.

Skills

Industrial AI strategy

Portfolio management

Executive stakeholder influence

AI governance & risk

Change leadership

MLOps & model lifecycle

AI in mining & processing

Digital twins & OT integration

Education

Master's degree in Artificial Intelligence

PhD preferred

Tools

Enterprise AI platforms

Control systems integration

Historians & data historians

Digital twins

Job description

Why This Role Matters

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

What You Will Deliver

Industrial AI Strategy amp 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 amp 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 amp 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 amp 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 amp 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

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