Executive Director, AI & Automation Research & Analysis
About this role
About Us
At ANZ, we're shaping a world where people and communities thrive, driven by a common goal: to improve the financial wellbeing and sustainability of our customers. Our Institutional bank helps our largest customers move trade and capital around the region, providing our people with great opportunities to build their technical expertise and their careers.
About the Role
As an Executive Director in our AI & Automation Research & Analysis (R&A) team, you will be responsible for shaping and driving how the Institutional business uses AI, automation and process re-engineering to transform the way credit work is performed.
Combining deep credit expertise with strong business acumen and an understanding of emerging technology, you’ll set priorities, bring external best practice and outside-in thinking, and identify opportunities to fundamentally reimagine our end-to-end credit processes. You’ll work closely across R&A, Specialised Transaction Management (STM), Relationship, Risk, Technology and Operations to translate opportunities into practical, scalable solutions, build the case for investment and drive execution and adoption.
This is a hands-on role, where you will lead a small team while personally contributing to delivery, with a focus on simplifying processes, improving the speed and quality of credit outcomes and creating capacity for higher-value work, while maintaining strong risk management, governance and controls.
Role Location: 833 Collins Street, Docklands VIC 3008; flexible on other locations within Australia Role Type: Permanent, Full-time
What will your day look like?
This role is accountable for:
• Setting and driving the AI, automation, and process transformation agenda across R&A and STM, aligned to business and risk priorities. • Identifying, prioritising, and delivering high-value AI and automation opportunities that improve efficiency, scalability, and risk outcomes. • Partnering closely with Relationship, Risk, Technology, Operations, and credit teams to translating business needs into practical technology-enabled solutions. • Leading the design, implementation, adoption, and benefits realisation of AI and automation initiatives, including developing business cases where required. • Acting as a bridge between business and technology, influencing senior stakeholders, and driving alignment on transformation priorities. • Ensuring strong risk management, governance, regulatory compliance, and responsible AI practices are embedded in all solutions. • Leading and developing the AI & Automation team, while providing coaching, thought leadership, and capability uplift across the broader function.