Expression of Interest: Chapter Lead - ML, Data Science, Gen AI and Agentic AI

Expression of Interest: Chapter Lead - ML, Data Science, Gen AI, Agentic AI

• Scale advanced machine learning, Gen AI and agentic AI solutions across the Group

• Solve complex challenges to influence high-priority initiatives that protect millions of customers

• Lead modern data science, cloud and engineering tech teams to build and deploy safer production-ready AI

Do work that matters

At CommBank, we're investing in AI to create better customer experiences and meaningful value for the communities we serve. We welcome international talent who would love the experience of working in Australia. We encourage you to apply if you're open to diversifying your global experience and solving world-class AI problems across the Group in collaboration with our own AI Research Labs.

We operate with a fintech mindset as we grow our global footprint and build our people's careers, including a diversified culture of international Tech Hubs established in Seattle and San Francisco, USA, working alongside unique partnerships with OpenAI, Anthropic, AWS and Microsoft to accelerate safer AI outcomes for Australia. Join us to experience this first-hand!

As Chapter Lead, you will lead a specialist chapter of data scientists working across Gen AI, agentic AI and machine learning in diversified portfolios and business units scaling safer and responsible AI solutions. You will shape technical direction, guide architecture and design decisions, strengthen delivery practices, and grow the capability of the team. You will work with advanced data science, software engineering and AI platform teams that come together to solve complex problems at scale.

This is a hands-on leadership role. You will help move ideas from experimentation through evaluation, validation, deployment and ongoing monitoring, while ensuring solutions are safe, scalable and effective in a regulated environment.

See yourself in our team

You will join a highly technical data science team developing machine learning and emerging AI capabilities that help protect customers from fraud and scams. The team works closely with product, engineering, platform, architecture, MLOps and risk partners to deliver trusted solutions that operate reliably at scale.

We value curiosity, pragmatism, inclusion and continuous improvement. We share knowledge, test emerging methods thoughtfully and maintain a strong focus on customer outcomes, technical quality and responsible AI.

In this role, you will:

• Lead the design, development and deployment of machine learning, Gen AI and agentic AI solutions, applying advanced statistical methods and structured problem solving to deliver strategic business outcomes and improve customer experiences.
• Drive solutions from experimentation to production while designing and implementing Gen AI capabilities such as RAG, orchestration, guardrails and agentic AI systems.
• Partner across products, engineering, architecture, platform, MLOps, risk and business teams to define problems assess technical trade-offs and expand the responsible use of data science, machine learning and AI.
• Establish and uplift technical excellence across the chapter, leading best practices while coaching and developing data scientists through technical leadership, collaboration and knowledge sharing.

We are interested in hearing from people with:

• Proven experience leading teams across machine learning, Gen AI and agentic AI initiatives, technically driving strategy, execution and technical excellence in complex environments.
• Strong technical foundations in statistics, probability, machine learning and AI, supported by a tertiary qualification in Data Science, Statistics, Computer Science, Engineering, Mathematics or a related discipline.
• Demonstrated hands-on experience designing, developing, deploying and evaluating production-grade AI solutions using LLMs, NLP and conversational AI, and the ability to interpret, evaluate and explain model behaviour.
• Advanced engineering and platform expertise in scaling production outcomes using Python, MLOps, SQL and machine learning/deep learning frameworks, with experience integrating AI solutions into enterprise data pipelines.
• Practical deployment using cloud technologies (AWS or Azure), CI/CD, containerisation, monitoring and observability, responsible AI, model governance and risk management.
• Strong communication skills and the ability to build trusted relationships across business and risk contexts, influence senior stakeholders and translate technical concepts for diverse audiences.

Working with us

At CommBank, we foster a culture of inclusion and respect, celebrating diversity across cultures, abilities, capabilities, skills, global locations, genders, gender expressions and sexual orientations. If this role excites you but you don’t meet every requirement, we still encourage you to apply as you may be the right fit for this role or another opportunity with us.

We’re committed to making a meaningful difference for Australia’s First Nations peoples and welcome all applicants. We are open to international talent that would love to experience working in Australia.

APPLY NOW to live your best life and do your best work with the world's #4 AI Banking leader(Evident AI Index 2025) and Australia's #1 Employer of Choice for growing careers(LinkedIn Top Companies 2026)

Advertising End Date: 10/10/2026