Full Time
Riyadh, Saudi Arabia
Posted 2 weeks ago

Maaden

Requirements

Candidates must hold a Master’s degree or PhD in a relevant quantitative discipline and possess over 15 years of experience, including at least 7 years in AI, analytics, or digital transformation. Proven experience in asset-intensive industries like mining or energy, along with a track record of leading complex, scalable AI deployments, is essential.

Job Summary

Job Title: Director, Industrial Artificial Intelligence
Reporting To: Vice President, Artificial Intelligence
Business Unit / Function: Technology & Innovation – Artificial Intelligence
Department: Industrial Artificial Intelligence

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 Ma’aden.

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

Responsibilities

The Director of Industrial AI will shape and execute the strategy to integrate AI solutions across mining, mineral processing, and industrial operations to drive safety, productivity, and sustainability. This role involves managing a high-value portfolio, establishing governance standards, and leading multidisciplinary teams to transition AI initiatives from experimentation into production.