OT Cyber Security
• Lead the development of departmental OT cyber security capability, including reusable architectures, design patterns, standards, guidance, training and knowledge sharing.
• Analyse customer cyber security requirements and translate them into project-specific security architectures, requirements and technical documentation.
Applied AI
• Establish and manage a prioritised pipeline of AI use cases across engineering processes and business processes.
• Evaluate use cases for business value, technical feasibility, data availability and quality, security, implementation risk and adoption needs.
• Lead development PoCs and MVPs using AI, ML, LLM, RAG, automation or other suitable approaches, selecting the most proportionate technical solution.
• Define success criteria and evaluate solutions against measurable technical performance, user value and business outcomes.
• Define secure AI adoption principles, reference architectures and practical guidance for governance, scalability, responsible use and lifecycle management.
• Work with global AI, engineering, product, IT, cyber security and innovation teams to reuse existing capabilities and avoid duplicated effort.
• Translate successful experiments into implementation proposals covering architecture, ownership, controls, resources and next steps.
• Create reusable tools, methods and lessons learned, enabling engineering teams to adopt AI consistently and securely.