Our client, a consulting firm working with a transport organisation, is seeking a Technology and Data Architecture Lead to transform the commuter disruption experience. This hands-on role involves analysing current-state challenges, designing a future-state service blueprint that leverages existing data and technology infrastructure, and developing a practical implementation roadmap that reduces manual processes through AI and automation. You will work with the client's core technology stack - including cloud platforms, spatial/GIS systems, asset management, workflow integration, and open data APIs - to design integrated architecture that connects engineering, operational, and public-facing data streams. Working collaboratively with stakeholders and supported by additional resources, you will provide hands-on technical leadership to ensure the solution is scalable, data-driven, and aligned with customer needs.

The ideal talent brings deep expertise in transport system architecture with proven experience integrating complex data ecosystems across engineering, operations, and customer-facing platforms.

Key Activities

• Current-State Architecture Assessment: Analyse existing technology stack to map data flows, integration points, and manual processes within the commuter disruption experience
• Integrated Architecture Design: Design a future-state architecture that enables seamless integration between engineering systems, operational platforms, and public-facing data streams to support real-time disruption management
• Data Integration Strategy: Develop data integration patterns and workflows
• AI & Automation Implementation: Identify and design AI-driven insights and automated workflows that leverage integrated data streams to improve disruption prediction, response, and customer communication
• Service Blueprint Development: Create a comprehensive service blueprint that demonstrates how integrated data and technology capabilities will transform the customer experience
• Phased Roadmap Creation: Develop a practical implementation roadmap with clear milestones, technical dependencies, and resource requirements for delivery in phases

Your Background

Essential:

• 10+ years' experience in technology and data architecture roles, with significant hands-on technical execution capability
• Proven expertise in transport system architecture, specifically designing solutions that integrate engineering, operational, and public-facing data streams
• Deep technical knowledge of spatial/GIS systems (Esri products) and their integration with other enterprise platforms
• Strong experience with asset management systems (IBM Maximo or similar) and understanding of asset data in operational contexts
• Practical experience with workflow integration tools (FME or equivalent) for connecting disparate data sources and systems
• Knowledge of BIM standards (Autodesk) and how building/infrastructure information integrates with operational systems
• Experience designing and implementing open data APIs and data-sharing architectures
• Cloud platform expertise (Azure, AWS, or GCP) with understanding of cloud-native architecture patterns
• Demonstrated capability in process mapping, service design, and translating customer needs into technical solutions

Desirable:

• Knowledge of real-time data processing, event-driven architectures, and customer communication platforms
• Experience with AI/ML platforms and implementing predictive analytics in operational environments
• Background in change management and organisational transformation within government contexts
• Experience with Agile delivery methodologies and working within cross-functional delivery teams
• Understanding of transport operations, disruption management processes, and customer experience principles