Chief Engineer - Economic Crime Platforms

About the role

CommBank is looking for a Chief Engineer for its Economic Crime Platforms team, which sits within Group Security and covers cyber security, resilience, fraud technology, protective security and cyber defence. The role shapes the technical strategy, architecture and delivery of platforms that help protect customers from financial crime, and leads modernisation across investigation, analytics, machine learning and agentic capabilities.

Key responsibilities

• Define the technology roadmap, target-state architecture and engineering guardrails for Economic Crime Platforms.
• Lead the strategy, architecture and delivery of investigation, machine learning, agentic and analytics platforms.
• Guide the development of trusted data products, engineering intelligence and reusable platform capabilities.
• Champion cloud-native architecture, microservices, APIs, automation and infrastructure as code.
• Embed security, data quality, privacy, lineage, observability and risk management throughout the engineering lifecycle.
• Strengthen engineering excellence through DevSecOps, DataOps, automated testing, continuous delivery and reliability practices.
• Partner with senior stakeholders across Technology, Architecture, Risk, Security and Service Management.
• Mentor engineers, guide complex technical decisions and uplift engineering capability.

Required profile

• An accomplished engineering leader combining deep technical expertise with architectural judgement and enterprise influence.
• Experience leading the architecture and delivery of complex, enterprise-scale engineering or data platforms.
• Experience designing cloud-native solutions using AWS, containers, serverless technologies and infrastructure as code.
• Experience applying modern data architecture patterns such as lakehouse platforms, data mesh and domain-aligned data products.
• Experience delivering reliable ingestion, integration, API, workflow or decision-engine capabilities.
• Experience embedding secure engineering, data governance, privacy and observability in regulated environments.
• Experience enabling machine learning, automation, generative AI or agentic use cases through trusted platform capabilities.
• Experience influencing senior stakeholders and coaching technical leaders.