Lead Specialist, Autonomous Platforms

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: Understands sustainability priorities and aligns activities with business goals. Analytical Problem Solving: Uses data-driven approaches to identify and solve performance gaps. Stakeholder Management: Works effectively with cross-functional teams. Communication: Presents insights clearly to technical and non-technical stakeholders.