Lead Specialist, Autonomous Platforms

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. Why This Role Matters Leads specialized technical solutions within Sustainability & Resource Growth by designing, developing, and deploying autonomous platforms that enhance operational efficiency, safety, and innovation. The role manages complex initiatives, maintains scalable and reliable autonomous systems, and enables business value through advanced technologies and cross-functional collaboration What You Will Deliver Autonomous Platform Architecture & Design Lead the design of autonomous platform architectures, including integration of robotics, IoT, AI, and control systems. Define technical standards, design patterns, and system architectures aligned with enterprise and innovation strategies. Maintain scalable, modular solutions aligned with future technology roadmaps. Solution Development & Implementation Lead technical design and implementation of autonomous platforms and systems. Guide multidisciplinary delivery teams across engineering, data/AI, and operations to implement solutions effectively. Oversee deployment of autonomous capabilities into operational environments, maintaining reliability and usability. Integration Across Technology Layers Integrate sensors, control systems, data platforms, and analytics layers. Coordinate integration between OT (Operational Technology) and IT systems to enable real-time and intelligent operations. Resolve technical dependencies and system interoperability challenges. Performance, Reliability & Safety Maintain high performance, reliability, and resilience of autonomous systems Define monitoring frameworks, operational performance benchmarks, and KPIs. Maintain compliance with safety standards and operational risk requirements, especially in industrial environments. Governance, Risk & Compliance Maintain compliance with enterprise governance frameworks, cybersecurity requirements, and regulatory standards. Identify and manage risks related to autonomous systems deployment and scaling. Support architecture and technical reviews to maintain compliance and quality. Stakeholder Collaboration & Alignment Collaborate with Innovation, Operations, Engineering, and Data & AI teams to deliver integrated outcomes. Translate business and operational requirements into technical autonomous platform solutions. Provide technical guidance and influence decision-making across stakeholders. Continuous Improvement & Innovation Drive continuous improvement of autonomous platform capabilities, tools, and methodologies. Identify and assess emerging technologies such as AI-driven automation, robotics, digital twins, and edge computing. Support innovation initiatives to enhance operational efficiency and value realization What Success Looks Like Delivers autonomous platform solutions that enhance operational efficiency, safety, and innovation. Develops scalable, modular autonomous platform architectures aligned with enterprise and innovation strategies. Develops scalable, modular autonomous platform architectures aligned with enterprise and innovation strategies. Integrates sensors, control systems, data platforms, analytics layers, OT, and IT systems to enable real-time intelligent operations. Defines monitoring frameworks, operational performance benchmarks, and KPIs for autonomous systems. Maintains compliance with enterprise governance frameworks, cybersecurity requirements, regulatory standards, safety standards, and operational risk requirements. Minimum Qualifications 8-10 years of experience in autonomous systems, robotics, industrial automation, or advanced technology environments. Proven experience designing or implementing autonomous or semi-autonomous platforms. Experience 3–5 years of experience in a manufacturing environment. Experience in process control or industrial automation systems. Skills That Matter Strong knowledge of autonomous systems, robotics, control systems, and industrial automation. Experience with AI/ML, computer vision, and sensor technologies used in autonomous platforms. Understanding of OT/IT integration, IoT architectures, and edge computing platforms. Familiarity with real-time data processing, telemetry systems, and control systems integration. Experience with system integration, simulation tools, and testing environments. Knowledge of safety-critical systems and industrial standards. Strategic Thinking: Understan

Minimum Qualifications: 8-10 years of experience in autonomous systems, robotics, industrial automation, or advanced technology environments. Proven experience designing or implementing autonomous or semi-autonomous platforms. Experience: 3–5 years of experience in a manufacturing environment. Experience in process control or industrial automation systems.

Autonomous Platform Architecture & Design: Lead the design of autonomous platform architectures, including integration of robotics, IoT, AI, and control systems. Define technical standards, design patterns, and system architectures aligned with enterprise and innovation strategies. Maintain scalable, modular solutions aligned with future technology roadmaps. Solution Development & Implementation: Lead technical design and implementation of autonomous platforms and systems. Guide multidisciplinary delivery teams across engineering, data/AI, and operations to implement solutions effectively. Oversee deployment of autonomous capabilities into operational environments, maintaining reliability and usability. Integration Across Technology Layers: Integrate sensors, control systems, data platforms, and analytics layers. Coordinate integration between OT (Operational Technology) and IT systems to enable real-time and intelligent operations. Resolve technical dependencies and system interoperability challenges. Performance, Reliability & Safety: Maintain high performance, reliability, and resilience of autonomous systems. Define monitoring frameworks, operational performance benchmarks, and KPIs. Maintain compliance with safety standards and operational risk requirements, especially in industrial environments. Governance, Risk & Compliance: Maintain compliance with enterprise governance frameworks, cybersecurity requirements, and regulatory standards. Identify and manage risks related to autonomous systems deployment and scaling. Support architecture and technical reviews to maintain compliance and quality. Stakeholder Collaboration & Alignment: Collaborate with Innovation, Operations, Engineering, and Data & AI teams to deliver integrated outcomes. Translate business and operational requirements into technical autonomous platform solutions. Provide technical guidance and influence decision-making across stakeholders. Continuous Improvement & Innovation: Drive continuous improvement of autonomous platform capabilities, tools, and methodologies. Identify and assess emerging technologies such as AI-driven automation, robotics, digital twins, and edge computing. Support innovation initiatives to enhance operational efficiency and value realization.