AI Chapter Area Lead (Executive Manager) Full-time

We look forward to welcoming a leader who will help us transform the future of banking with cutting-edge AI technologies and pave the way for innovative practices that benefit not only CommBank but the banking industry as a whole.

See yourself in our team:

At CBA we have an ambitious goal of leading the way in changing the world through AI. With great buy-in from all senior leadership, we have embarked on world first initiatives to deliver exceptional experiences to our customers. In Retail Banking Services (RBS), as the largest and customer facing part of the bank, we play a unique role in bringing this vision to life and build a brighter future for all Australians.

The opportunity

We are looking for an AI Chapter Area Lead (Executive Manager) who will co-lead high priority initiatives across RBS with relevant business stakeholders and multidisciplinary teams. You will guide your team to deliver world-class AI capabilities across RBS that will also build capabilities for the rest of CBA. You will be responsible for cutting edge initiatives in agentic AI, GenAI, and broader AI. Our strategic focus lies in delighting our customers at every touchpoint, offering outstanding service, and meet the needs of our customers. Your leadership will be crucial in helping RBS achieve its priorities.

Why CommBank?

CommBank is leading the world of banking by venturing into new-to-the-world innovations. We’re on the cutting edge, embracing AI technologies to reshape how we operate and serve our customers. When you join CommBank, you’re joining a team that values expertise and innovation, and you’ll be empowered to lead projects that push the boundaries of what’s possible.

Key Responsibilities:

• Lead GenAI and Agentic system design and development : Drive the expansion and adoption of Generative AI solutions across RBS, optimising our product offerings through design and implementation of advanced Gen AI capabilities and agentic AI systems.
• Develop and implement Machine Learning Models: Lead the overhaul of various machine learning models, enabling to drive strategic business outcome for various stakeholders.
• Develop and Implement Training Programs: Establish and execute a comprehensive training and continuous learning framework to build a highly skilled and knowledgeable data science team, fostering a culture of expertise and innovation.
• Expand Data/AI Science Usage: Identify AI opportunities and embed these methodologies into a broader range of activities across the banking landscape
• Drive Continuous Improvement and Business Outcomes : work closely with business stakeholder to pioneer adoption and application of cutting edge AI and Gen AI capabilities and paving the path for how the bank will operate to towards the vision of re-imagined banking and customer service.

We’re interested in hearing from people with the following skills.

Desired Skills and Experience:

• Leadership and Coordination:
  • Proven experience in leading large, high-performing multi-disciplinary teams.
  • Ability to coordinate effectively across the Data Science community to unify efforts and drive collaborative outcomes.
  • Demonstrated capability in driving outcomes that are reusable and can be leveraged across the group.
  • Proficiency in risk management strategies to identify, mitigate, and manage data-related risks.
  • Collaborate with the business to obtain buy-in and drive programs of work focused on achieving the bank’s customer and commercial outcomes.
  • intellectual curiosity and ability and willingness to learn, experiment and lead new to the world concepts
• Technical Skills and Tools:
  • Machine Learning: Expertise in the design and construction of machine learning models, including feature engineering, model selection, hyperparameter tuning, model evaluation, and deployment of predictive models into production environments.
  • Generative AI: Familiarity with various aspects of Generative AI, including prompt engineering, Retrieval-Augmented Generation (RAG), guardrail design, orchestration design, and tools such as LangChain and LangGraph.
  • Cutting-Edge AI: Work on projects leveraging traditional AI, Generative AI, and agentic AI to pave the path for how banking and broader industry functions in the future.
  • Version Control and CI/CD: Experience with version control and CI/CD pipelines such as GitHub.
  • Tooling: Hands-on experience with data science tools such as Spark, Python, R, TensorFlow, PyTorch, and SQL.
  • Data Engineering: Knowledge of ETL processes and data pipeline construction, ensuring efficient data flow and integration.
  • Deployment: Familiar with Docker for containerization and deployment of applications.
  • Cloud Architecture: Grounded understanding in AWS or Azure Cloud architecture and integration, demonstrating experience in deploying and managing cloud-based solutions.

Working with us

Whether your passion lies in customer service, data-driven decision-making, or innovative creativity, a career with CommBank offers it all. Our team members bring diverse backgrounds and unique perspectives to foster a respectful, inclusive, and flexible workplace. Driven by our values, we empower each other to share ideas, initiatives, and energy. Here, making a positive impact for customers, communities, and our colleagues is part of our everyday work life.

Discover a career with CommBank where your contributions lead to a brighter future for all.

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. We’re keen to support you with the next step in your career.

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Advertising End Date: 12/03/2025