Chapter Area Lead (Executive Manager) - Home Buying AI

Responsibilities

• Shape the future of Home Buying by designing and delivering GenAI and Agentic AI solutions that transform how customers discover, apply for, and manage their home loans
• Drive strategic AI capability across predictive modelling, personalisation, pricing, and portfolio optimisation
• Lead and grow a high-performing AI chapter, uplifting capabilities across deep learning, MLOps, and experimentation practices
• Embed AI into business decisioning, partnering with Product, Pricing, Risk (Line 1), and Finance to deliver measurable outcomes
• Champion innovation at scale, balancing cutting-edge AI with strong governance, risk management, and regulatory alignment
• Contribute hands-on to modelling and solution design where needed-setting the technical standard for excellence
• We're interested in Data Science leaders who bring:
• Leadership & Vision
• Proven experience leading multidisciplinary Data Science and AI teams in complex enterprise environments
• Strong track record driving adoption of GenAI, Agentic AI, and advanced ML at scale
• Ability to translate technical capability into clear business value and strategic direction
• Exceptional stakeholder engagement skills with executive presence
• Technical Excellence
• Deep expertise in Machine Learning, Deep Learning, and statistical modelling. (Preference for individuals from a statistical, mathematics or computer science background)
• Hands-on experience with Generative AI and Agentic AI frameworks (e.g. RAG, prompt engineering, guardrails, LangChain, LangGraph)
• Strong proficiency in Python, PyTorch/TensorFlow, SQL, and modern data science tooling
• Experience with MLOps, CI/CD pipelines, and scalable ML deployment
• Solid understanding of data engineering (ETL) and cloud platforms (AWS/Azure)
• Familiarity with platforms such as AWS SageMaker and Bedrock highly regarded
• Domain & Impact Mindset
• Passion for solving real-world customer problems, particularly in high-impact life moments like home ownership
• Ability to operate across both strategic and hands-on delivery
• Working with us
• At CommBank we will inspire you with work that makes a difference, surround you with talented people that respect and value each other, and empower you to grow professionally and personally. Most of all, making a positive impact for customers, communities and each other is

Benefits

Additional Information

Do work that matters At CommBank, we're redefining the future of banking through world-class AI innovation. From our executive leadership through to our data scientists, we're on a mission to transform financial services by embedding cutting-edge AI into every customer experience. Within Retail Banking Services (RBS), you'll sit at the heart of this transformation-building intelligent, customer-first solutions that make a real difference in people's lives. Nowhere is this more impactful than in Home Buying , where we help Australians navigate one of the most significant financial decisions they'll ever make. The RBS AI team is responsible for leading the delivery of world-class AI and Data Science capabilities to improve the financial well-being of our customers and communities. We're reimagining the end-to-end journey-leveraging AI, data, and personalisation to make it faster, simpler, and more intuitive for our customers. See yourself in the team You'll join the Retail Banking Home Buying team , within the Customer, Digital and AI function, responsible for delivering world-class AI and data science capabilities that improve the financial wellbeing of our customers and communities. This team plays a critical role in driving the performance of CommBank's home lending portfolio-supporting everything from customer acquisition and credit decisioning to pricing, risk optimisation, and retention. Through advanced modelling and real-time insights, we help power smarter decisions across the entire home buying lifecycle. As a Chapter Area Lead (Executive Manager), you'll lead a high-performing community of data scientists and AI specialists, driving strategic AI initiatives and building scalable, production-grade solutions across Generative AI, Agentic AI, and Machine Learning.

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