Chief Engineer

• 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.

• 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

• 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)

• 15+ years of engineering experience, with significant time in enterprise-scale or banking environments
• Proven experience leading complex technology platforms
• Deep expertise in distributed systems, data platforms, and cloud (AWS/Azure/GCP)
• Experience working within regulated environments (APRA, Basel frameworks, etc.)
• Demonstrated ability to lead large-scale transformation and modernisation programs

• Experience with Agentic solutions, technology modernization, regulatory reporting.
• Background in Data and microservice architecture, enterprise data platforms
• Experience in platform engineering or core banking transformation

• Strong technical depth with enterprise-scale thinking
• Risk-aware decision maker with strong governance mindset
• Influential leader comfortable operating at executive level
• Pragmatic approach to balancing legacy constraints with modernisation goals

• Improved resilience and stability of Operations platforms
• Successful delivery of various Operation business outcomes
• Reduction in legacy complexity and technical debt
• High-quality, trusted across the organisation
• Increased engineering maturity, velocity, and talent retention

If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application.

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