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Ma'aden

Chief Specialist, Accelerating asset ramp-up

Ma'aden is hiring a Chief Specialist, Accelerating asset ramp-up in Riyadh, Saudi Arabia. Level rates it ; you can apply on Level.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include Data Analytics, asset management and performance optimization.
  • Level files it as a lead role.
  • Level lists 33 other open roles at Ma'aden.
  • The role was posted in the last few days.

AI in this role

Leads initiatives to accelerate asset ramp-up and operational performance using data, analytics, and cross-functional technology approaches.

data-analytics
asset-managementperformance-optimizationoperationsdata-analysis
Maaden, established in 1997, is one of the fastest-growing mining companies in the world and the largest multi-commodity mining and metals company in the Middle East. We are leading the development of the mining industry to become the third pillar of Saudi Arabia’s economy by building a world-class, unique, and fully integrated mining value chain. We are pleased to share an exciting opportunity for the below mentioned position. This role offers a chance to contribute to our ambitious growth and play a key part in shaping the future of mining in the Kingdom.
Job Title: Chief Specialist – Acceleration Asset Ramp-up
Reporting To: Director, Technology Development
Business Unit / Function: Technology & Innovation
Department: Technology Enablement
Grade: M13
  Why This Role Matters The Chief Specialist – Acceleration Asset Ramp-up exists to help Ma’aden bring mining and processing assets to stable, productive operation faster. The role connects technology, operational expertise, data and analytics to address the constraints that slow commissioning, stabilization and early operational performance. The role creates value by identifying the highest-impact opportunities across throughput, recovery, uptime, cost and production readiness, then translating them into practical interventions that accelerate performance improvement. It provides an enterprise perspective across assets, enabling successful approaches to be reused rather than solved independently at each operation. Working across Operations, Technology & Innovation, Data & AI and project stakeholders, the role strengthens the transition from commissioning to reliable operations and embeds repeatable approaches that improve the performance of future asset ramp-ups. What You Will Deliver Asset Ramp-up & Performance
  • Shape and embed an enterprise approach to asset ramp-up that shortens the path from commissioning to stable operations across mining and processing assets.
  • Identify and activate the critical throughput, recovery, uptime, cost and readiness levers that accelerate early-stage asset performance.
  • Diagnose systemic ramp-up constraints and enable focused interventions that address root causes and protect production value.
Value Realization
  • Translate ramp-up opportunities into measurable value hypotheses, performance targets and interventions with clear ownership and benefit tracking.
  • Drive sustained improvements in ramp-up speed, asset utilization and operational readiness through fact-based performance management.
  • Provide actionable insights that enable leadership to prioritize interventions and investments against the areas of greatest operational value.
Digital & Analytics Enablement
  • Accelerate the application of advanced analytics, digital twins and predictive capabilities where they improve commissioning, stabilization and ramp-up decisions.
  • Embed relevant digital capabilities into operational workflows to strengthen real-time visibility, decision quality and performance management.
  • Enable repeatable ramp-up use cases to scale across assets in partnership with technology, data and solution teams.
Enterprise Execution & Governance
  • Orchestrate alignment across Operations, Technology & Innovation, Data & AI, projects and commissioning stakeholders to resolve cross-functional dependencies and barriers.
  • Establish consistent governance, performance measures and executive-level visibility across priority ramp-up initiatives.
  • Strengthen the transition between project, commissioning and operational teams through clear performance expectations and integrated execution.
Standards & Organizational Capability
  • Develop and embed scalable ramp-up playbooks, tools and practices appropriate to different asset classes and operating environments.
  • Convert lessons from asset ramp-ups into reusable organizational knowledge that improves subsequent commissioning and stabilization.
  • Build organizational capability through technical coaching, knowledge transfer and adoption of proven ramp-up practices.
What Success Looks Like
  • Reduced time from commissioning to stable and targeted operating performance.
  • Improved throughput, recovery, uptime and asset utilization during ramp-up.
  • Measurable value realized from prioritized digital, analytics and operational interventions.
  • Reduced recurrence of ramp-up constraints through effective root-cause resolution and reuse of lessons learned.
  • Increased adoption of standardized ramp-up methods, playbooks and proven use cases across applicable assets.
  • Stronger visibility of ramp-up performance, risks and value realization to enable faster management decisions.
Minimum Qualifications
  • Bachelor’s degree in Engineering, Mining, Metallurgy, Industrial Engineering or a related discipline.
  • Master’s degree in a relevant discipline is advantageous.
Experience
  • 12–15+ years of relevant experience in mining, mineral processing or comparable heavy industry environments.
  • Significant exposure to asset commissioning, operational ramp-up, stabilization and performance improvement.
  • Experience delivering operational value through digital, analytics or technology-enabled improvement initiatives.
  • Experience working across multidisciplinary operational, technical, project and technology stakeholders.
Skills That Matter
  • Asset ramp-up and commissioning optimization
  • Mining and processing operational excellence
  • Production performance and bottleneck analysis
  • Advanced analytics and digital enablement
  • Value realization and benefits management
  • Performance management and KPI design
  • Strategic problem-solving
  • Cross-functional execution
  • Senior stakeholder influencing
  • Change and capability building

Benefits

1. Career Growth
2. Competitive Salaries
3. Comprehensive Package
4. Inclusive Work Environment
5. Work-Life Balance
6. Employee wellness

How we rate this

Chief Specialist, Accelerating asset ramp-up at Ma'aden rates 15 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.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

Asset ManagementPerformance OptimizationOperationsData AnalysisData Analytics

Questions you could be asked

  1. Tell me about a project where asset management was part of your work. What did you do?
  2. Tell me about a project where performance optimization was part of your work. What did you do?
  3. Tell me about a project where operations was part of your work. What did you do?
  4. Tell me about a project where data analysis was part of your work. What did you do?
  5. Walk me through how you've used Data Analytics in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Asset Management, Performance Optimization, Operations, Data Analysis, and Data Analytics. 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.

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