Establish data quality and service level frameworks, taking responsibility for completeness, accuracy, timeliness, consistency, and traceability; build automated reconciliation, anomaly detection, monitoring and alerting, raw data replay, backfill, and fault recovery capabilities.
Collaborate directly with product managers, UX designers, and senior stakeholders to translate complex requirements into actionable technical deliverable milestones.
Partner with senior leadership across Technology, Investment, and Operations to secure visible sponsorship for AI adoption initiatives and align change programmes with business unit priorities.
Drive practical AI and automation use cases across HR, including AI-enabled employee support, intelligent workflows, GenAI solutions and process automation to enhance HR service delivery and employee experience.
Review civil and structural documentation submissions from contractors, including temporary works designs, method statements, technical submissions, and test reports.
Develop AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and workflow automation to enhance engineering productivity and operational decision-making.