Crew Lead - Engineering Data

About the role

CommBank is looking for a Crew Lead, Engineering Data to lead the Engineering Data Crew within Engineering Platform. The role sets the purpose, strategy and roadmap of the crew, leads multiple squads and senior leaders, and translates strategy into a clear, outcome-based roadmap. It combines people leadership with engineering judgement and product-oriented execution, covering data enablement, control and risk insights, delivery intelligence and test data tooling.

Key responsibilities

• Set and communicate the crew's purpose, strategy, objectives and roadmap, linking customer needs to measurable technology and business outcomes.
• Lead multiple squads and senior leaders, creating accountability, alignment, autonomy, psychological safety and a culture of continuous improvement.
• Own crew-level delivery commitments, priorities, dependencies and trade-offs, using evidence to guide capacity, sequencing and investment.
• Partner with Product Owners, Engineering Managers, the Chief Engineer and Principal Engineers to deliver secure, resilient, observable and maintainable data products and services.
• Build capability across data, software and platform engineering, analytics and product leadership through workforce planning, hiring, coaching, succession and career development.
• Strengthen data quality, metadata, lineage, access, classification and stewardship with data, risk, security and architecture teams.
• Manage financial, commercial, risk and lifecycle decisions, including vendor performance, operational resilience and modernisation or retirement of legacy technology.
• Identify opportunities to responsibly scale AI, agents, automation, graphs and advanced analytics using governed engineering data.

Required profile

• Experienced engineering, data or platform leader who turns complexity into clear direction and brings people together.
• Ideally significant experience leading multi-team engineering, data or platform organisations in a large, complex and regulated environment.
• A strong record of coaching leaders, building diverse capability and creating high-performing, inclusive teams.
• Experience delivering enterprise data products, engineering platforms, analytics capabilities or major technology transformations.
• Ability to influence senior stakeholders and balance customer value, risk, cost, capability and time.

Required skills

• Working knowledge of DataOps, DevSecOps, continuous delivery, automated testing, infrastructure as code, observability and full-cycle ownership.
• Practical understanding of cloud-native architecture, preferably AWS, and data governance, security, privacy, resilience and control obligations.