Chief Specialist, Asset Reliability
Ma'aden is hiring a Chief Specialist, Asset Reliability in Riyadh, Saudi Arabia. Level rates it ; you can apply on Level.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting mentions asset reliability, predictive maintenance and lifecycle management among its tools and skills.
- Level classes it as an executive role.
- Ma'aden has 33 other open roles on Level.
- This posting went up in the last few days.
AI in this role
Leads enterprise asset reliability strategy shifting maintenance from reactive to proactive and predictive approaches.
Job Title: Chief Specialist, Asset Reliability
Reporting To: Director, Technology Development
Business Unit / Function: Technology & Innovation
Department: Asset Reliability
Grade: M13
Why This Role Matters The Chief Specialist, Asset Reliability strengthens Ma’aden’s ability to maximize asset performance, availability and lifecycle value. The role provides enterprise leadership for asset reliability, connecting operational priorities, maintenance strategies, asset health insights and technology capabilities into an integrated approach across business units and sites. The role creates value by shifting reliability decisions from reactive intervention toward proactive, predictive and risk-based approaches. It translates reliability and maintenance challenges into scalable business and technology solutions that improve equipment performance, reduce avoidable disruption and optimize total cost of ownership. As the enterprise domain authority, the role aligns reliability outcomes, decision logic and technology priorities across assets, ensuring initiatives address the highest-value reliability opportunities and can be scaled effectively across Ma’aden. What You Will Deliver Enterprise Reliability Strategy & Outcomes
- Shape enterprise asset reliability priorities, KPIs and value outcomes that strengthen asset performance and lifecycle value across business units.
- Establish consistent reliability and maintenance decision principles that focus investment and intervention on the highest-value asset risks and opportunities.
- Provide technical authority on asset reliability, influencing strategies, priorities and solutions across operational and technology stakeholders.
- Translate asset performance, maintenance and cost challenges into clear improvement opportunities with measurable value hypotheses and success measures.
- Enable proactive, predictive and risk-based maintenance decisions that improve reliability, maintainability, availability and total cost of ownership.
- Use asset performance insights to identify recurring reliability constraints and focus improvement initiatives on sustainable performance.
- Shape end-to-end solutions that connect asset health monitoring, diagnostics, maintenance planning and operational execution.
- Establish closed-loop approaches that use asset performance and maintenance outcomes to continuously improve reliability decisions.
- Ensure reliability solutions are scalable, interoperable and aligned with operational requirements and enterprise technology direction.
- Align Maintenance, Operations, Engineering and Supply Chain stakeholders around asset criticality, reliability priorities and performance outcomes.
- Partner with analytics, AI, monitoring and digital teams to translate reliability needs into deployable technology solutions.
- Integrate reliability initiatives and technical designs to minimize fragmentation, strengthen reuse and accelerate enterprise adoption.
- Advance enterprise reliability practices by applying proven methods, technology and data-driven approaches to priority asset challenges.
- Build reliability capability through technical guidance, knowledge transfer and the adoption of consistent practices across relevant teams.
- Asset reliability priorities, KPIs and value outcomes are consistently defined and applied across relevant business units and assets.
- Asset reliability, availability and maintainability improve through targeted, data-driven interventions.
- Maintenance decisions increasingly use proactive, predictive and risk-based insights rather than reactive intervention.
- Reliability improvements contribute to lower avoidable disruption and optimized total cost of ownership.
- Asset health, maintenance planning and operational execution operate through effective closed-loop decision-making.
- Reliability solutions and technology investments are scalable, aligned to business priorities and deliver measurable operational value.
- Bachelor’s degree in Engineering, Maintenance or a related discipline.
- 10+ years of relevant experience in asset reliability, maintenance, asset management or industrial operations.
- Strong experience applying reliability engineering and maintenance strategies in asset-intensive environments.
- Experience using digital, analytics or advanced technologies to improve asset reliability and maintenance outcomes.
- Demonstrated experience influencing reliability priorities and outcomes across multiple functions or business units.
- Asset reliability and reliability engineering
- Maintenance strategy and asset performance management
- Asset criticality and lifecycle optimization
- Predictive and condition-based maintenance
- Reliability analytics and data-driven decision-making
- Total cost of ownership and value realization
- Digital and technology-enabled reliability solutions
- Systems thinking and solution integration
- Cross-functional stakeholder influence
- Technical leadership and capability building
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, Asset Reliability at Ma'aden rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● 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 asset reliability was part of your work. What did you do?
- Tell me about a project where predictive maintenance was part of your work. What did you do?
- Tell me about a project where lifecycle management was part of your work. What did you do?
- Tell me about a project where maintenance strategy was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Asset Reliability, Predictive Maintenance, Lifecycle Management, and Maintenance Strategy. 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.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get new AI jobs by email
One email a week with the new AI jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Other roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step