Specific work or activities you will perform: Lead the modernisation of Operations tech platforms, including legacy system simplification, cloud adoption, resilience uplift, and establishment of engineering standards across software, data, and AI engineering. Provide enterprise-level technical leadership for platform architecture, data governance, AI integration, secure engineering practices, and operational resilience across critical Finance & Risk systems.
Business outcome this work enables: Drives the resilience, scalability, and reliability of enterprise platforms lead by operations tech teams by establishing modern architecture, standardised engineering practices, strong platform governance, and responsible AI adoption, accelerating delivery while improving operational excellence and business outcomes. Role Overview: We are seeking a Chief Engineer to lead the technical strategy, architecture, and engineering standards across Operations technology platforms at CBA.
This role is responsible for ensuring our systems are resilient, secure, compliant, and scalable, while supporting critical business capabilities servicing 3000+ internal users. You will act as the senior-most technical authority across Operation Tech domain, driving modernisation of legacy platforms, uplifting engineering practices, and ensuring alignment with CBA’s enterprise architecture, risk frameworks, and regulatory obligations.
Key Responsibilities: Technology Strategy & Architecture Lead modernisation initiatives, Engineer enterprise-wide platform adoption (cloud adoption, AI implementation, decommissioning legacy systems) Ensure alignment with CBA enterprise architecture, data strategy, and platform standards Drive AI first mindset and API-first, event-driven, and modular architecture patterns Engineering Excellence & Resilience Establish best practices for high availability, disaster recovery, and operational resilience Drive improvements in system reliability, observability, and incident management Champion secure engineering practices aligned with CBA cybersecurity standards Ensure strong SDLC governance, including CI/CD, automated testing, and release controls AI, Data & Platform Integrity Ensure the accuracy, consistency, lineage, and trustworthiness of enterprise data, enabling secure, high-quality data foundations across platforms and business domains.
Design and govern AI-ready data architectures, including data lineage, reconciliation, observability, metadata, and controls across upstream and downstream systems. Establish responsible AI guardrails by implementing enterprise AI governance, model evaluation, prompt and agent governance, knowledge management, and human oversight to ensure safe, compliant, and explainable AI adoption. Build reusable AI and data platform capabilities, including enterprise knowledge layers, vector search, RAG, AI skills, and operational data products that enable scalable agentic solutions and intelligent automation.
Integrate enterprise data, AI services, and risk, compliance, analytics, and reporting platforms to deliver trusted, governed, and reusable capabilities across the organisation. Champion AI engineering best practices, including model lifecycle management, evaluation frameworks, observability, security, and continuous improvement of AI-powered systems. Leadership & Culture Provide technical leadership across multiple engineering teams and domains Mentor principal engineers and engineering leaders Build a culture of accountability, engineering excellence, and continuous improvement Influence hiring, capability uplift, and workforce strategy Stakeholder Engagement Partner with senior leaders across Operation, Financial crime Technology Translate complex technical concepts into business and regulatory impact Support executive and board-level discussions where required (e.g.
risk, resilience, incidents) Required Qualifications 15