Chief Specialist, Accelerating discovery to development (Exploration & Resource Development Business Partner)
Ma'aden is hiring a Chief Specialist, Accelerating discovery to development (Exploration & Resource Development Business Partner) in Riyadh, Saudi Arabia. Level rates it ; you can apply on Level.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include AI targeting, automation and subsurface analytics.
- Level files it as an executive role.
- Level lists 33 other open roles at Ma'aden.
- The role was posted in the last few days.
AI in this role
Drives the application of AI, automation, and advanced sensing technologies to accelerate mineral exploration and development.
Job Title: Chief Specialist, Accelerating Discovery to Development (E&RD Business Partner)
Reporting To: VP Technology Enablement
Business Unit / Function: Technology & Innovation
Department: Technology Enablement
Grade: M13 Why This Role Matters The Chief Specialist, Accelerating Discovery to Development transforms how Ma’aden applies technology to mineral exploration, accelerating the journey from exploration insight to scientifically validated, decision-ready evidence. The role connects frontier technologies in automation, advanced sensing, Data & AI, subsurface analytics, and laboratory science to create faster, more reliable and scalable exploration capabilities. As an enterprise technical authority, the role shapes how emerging technologies are selected, validated and applied across the exploration lifecycle. It brings together field acquisition, laboratory validation and digital intelligence to shorten learning cycles, improve confidence in exploration findings, reduce avoidable rework and strengthen the technical basis for investment and portfolio decisions. The role creates additional value by translating proven approaches from Oil & Gas, space exploration, OEMs, academia and research into practical mineral exploration applications. Its accountability is how exploration technology is applied and validated, rather than ownership of exploration outcomes, laboratories, digital platforms or approval decisions. What You Will Deliver Exploration Technology Leadership
- Shape the enterprise exploration technology roadmap to accelerate discovery and validation through automation, advanced sensing, AI-enabled targeting and intelligent drilling.
- Translate emerging technologies into deployable exploration capabilities, selecting solutions based on scientific validity, technology readiness, field applicability and potential business value.
- Build Ma’aden’s technical advantage by identifying and adapting relevant technologies and practices from Oil & Gas subsurface science, space exploration, OEMs, academia and research institutions.
- Advance AI-enabled exploration by integrating geological, geophysical, geochemical and remote-sensing information to strengthen subsurface interpretation, target ranking and uncertainty management.
- Apply advanced analytics, including predictive modelling, deep learning, physics-informed AI and probabilistic approaches, to increase the speed and confidence of exploration insights.
- Establish confidence-based decision metrics that make uncertainty, reproducibility and learning rate visible alongside conventional exploration measures.
- Transform the field-to-lab validation cycle by connecting sensing, drilling and sampling with high-throughput analytical methods, automated core analysis and digital sample traceability.
- Accelerate independent and reproducible validation of exploration findings, reducing analytical turnaround, rework and delays between initial observation and decision-ready evidence.
- Strengthen approval readiness by establishing fit-for-purpose certified analytical technologies, traceable data and scientifically defensible methods that enable efficient technical review, external reporting and portfolio decisions.
- Design scalable field-lab-digital workflows that connect field acquisition, laboratory analysis and AI-enabled interpretation into a coherent exploration technology model.
- Enable greater exploration productivity through automation, digital twins, sensor fusion, autonomous or remote technologies and AI-assisted decision workflows.
- Align laboratory capacity, automation and digital capability with exploration ambition, enabling technology solutions to scale as exploration activity evolves.
- Evaluate frontier technologies for practical exploration value, balancing scientific robustness, technology readiness, deployment constraints, cost, risk and scalability.
- Accelerate transfer of proven cross-industry innovation into mineral exploration, particularly in autonomous systems, subsurface analytics, remote sensing and extreme-environment instrumentation.
- Demonstrate measurable technology value through shorter learning and validation cycles, lower re-testing and re-sampling, improved target confidence and more efficient exploration workflows.
- Shorter field-to-validated-result cycle time, enabling exploration evidence to reach technical and portfolio decisions faster.
- Reduced laboratory turnaround time and avoidable re-analysis, with stronger first-time quality, traceability and reproducibility of critical results.
- Higher confidence in drill-ready targets, supported by integrated data, explicit uncertainty measures and scientifically defensible validation.
- Faster progression from exploration concept to drill-ready target through effective application of automation, AI and advanced sensing technologies.
- Improved exploration efficiency, demonstrated through reduced cost, re-sampling, re-testing and decision latency attributable to technology-enabled workflows.
- Successful adoption and scaling of high-value technologies, including AI-enabled exploration and relevant cross-industry innovations.
- Advanced degree in Geoscience, Geophysics, Mining Engineering or a related discipline; MSc or PhD preferred.
- 20+ years of relevant experience in mineral exploration, subsurface science or adjacent Oil & Gas exploration domains.
- Demonstrated experience applying Data & AI, automation, advanced sensing or subsurface analytics in exploration or comparable technical environments.
- Experience with advanced analytical laboratories, mineral characterization, high-throughput testing, certified analytical methods or regulatory acceptance processes.
- Experience applying AI-enabled QA/QC, anomaly detection, confidence estimation or uncertainty analysis, combined with strong understanding of field exploration constraints.
- Mineral exploration technology and subsurface science
- Advanced sensing, drilling and field technologies
- Data, AI and predictive subsurface analytics
- Laboratory analytics and mineral characterization
- Scientific validation, QA/QC and uncertainty quantification
- Technology assessment, qualification and scaling
- Exploration workflow optimization and value realization
- Cross-industry technology transfer
- Executive-level technical advisory and stakeholder influence
- Cross-disciplinary collaboration across geoscience, digital, engineering, R&D, OEMs and academia
Benefits
1. Career Growth2. Competitive Salaries
3. Comprehensive Package
4. Inclusive Work Environment
5. Work-Life Balance
6. Employee wellness
How we rate this
Chief Specialist, Accelerating discovery to development (Exploration & Resource Development Business Partner) at Ma'aden rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where ai targeting was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
- Tell me about a project where subsurface analytics was part of your work. What did you do?
- Tell me about a project where advanced sensing was part of your work. What did you do?
- Tell me about a project where mineral exploration was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Targeting, Automation, Subsurface Analytics, Advanced Sensing, and Mineral Exploration. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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