Technology Product Owner

Organization 

At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward, to progress, make the right financial decisions, and achieve their dreams, targets and aspirations. Regardless of where you work within our organization, your initiative, talent, ideas and energy contribute to the impact we can make. Together, we can achieve great things. 

Our purpose: Building a brighter future for all. 

Business & Team 

As we continue our pursuit of NPS +30, we need to transform how we engage with customers and colleagues. This requires moving from a two-track digital versus assisted approach to a deeply personal and empathic end-to-end digital experience, enriched and augmented by our colleagues. 

The Gen AI Domain within CDAO has been established to build the tools and capabilities needed across the Group and to lead the “Transformer Banking” initiative. The domain focuses on solution practices, tools and platforms required to leverage Large Language Models safely and effectively, rather than creating foundation models. 

The domain is building technology platforms and tools such as the Gen AI Hub, RAG tooling, knowledge management services, and LLM access and control planes; business platforms such as Customer Conversation Manager and Customer Activity Manager; and reusable patterns and practices for Gen AI-enabled solutions across CBA. 

The team enables crews across CBA to use Generative AI as part of traditional solutions in a heavily regulated environment. We are looking for people who thrive in ambiguity, build strong team cultures, remain focused on customer needs, manage risk thoughtfully, and are passionate about enterprise transformation through Gen AI. 

Impact & Contribution 

As Product Owner, you will be accountable for a portfolio of Gen AI platforms and services used across CBA to solve important customer and colleague’s needs. You will deeply understand end-customer and internal-consumer needs, own the product roadmap, ensure the products meet those needs, and partner with the Group Practice Lead - Gen AI Solutions to drive customer success. 

Reporting Line 

Direct line reporting to CAL, Gen AI. 

Roles & Responsibilities 

• Define the product vision, direction and goals for the development team. 

• Work with knowledge engineers, prompt engineers, platform engineers, data scientists and analysts to build reliable, resilient and adaptable Gen AI applications and deployable solutions. 

• Manage and prioritize the product backlog, features and user stories, ensuring the development team works on the highest-value outcomes. 

• Use your engineering background to understand customer needs for platforms serving internal engineers and assess the feasibility of transformative business capabilities. 

• Balance business partner demands with the long-term sustainability of products and services to optimize customer experience, NPS, cost and risk outcomes. 

• Partner with SRE teams, consuming service owners, controls teams and risk communities to embed risk management and platform resilience. 

• Manage delivery expectations and provide clear status reporting to technology and business stakeholders. 

• Own the risks, costs and benefits of platforms and services, while driving reliability, testing practices and Responsible AI. 

• Help engineering squads determine which parts of fast-evolving Gen AI solutions require variability and which require stability. 

• Continue learning while delivering tangible customer outcomes. 

• Act as an ambassador for Gen AI transformation across the bank, sharing knowledge and supporting an open learning culture. 

Essential Skills & Experience 

• Minimum 12-14 years of relevant experience. 

• Product ownership experience delivering complex, high-profile digital capabilities, technology platforms and services. 

• Strong understanding of banking workflows and customer experiences, such as dispute-management processes and orchestration of multiple workflows to execute a case. 

• Engineering background in software development, data engineering or data science. 

• Experience building and operating technology platforms used internally or externally within an organization. 

• Experience leading engineering teams that build and scale distributed systems, tools and frameworks across public, private or hybrid cloud environments. 

• Exceptional stakeholder engagement, attention to detail, and verbal and written communication skills. 

• Customer-focused approach with the ability to identify unmet needs and champion innovative experiences and product practices. 

• Ability to drive safe and responsible Gen AI solutions by challenging technology limitations and improving systems, processes and methods. 

• Strong problem-solving skills and the ability to collaborate effectively across multidisciplinary teams. 

Technical Skills 

• Cloud solution architecture, preferably AWS and Azure; exposure to services such as Amazon SageMaker or equivalent AI platforms is valuable. 

• Strong software-development practices, including Git, debugging, automated testing and documentation. 

• Experience or exposure to Python, TypeScript and/or C#. 

• Familiarity with containerization and orchestration technologies such as Docker and Kubernetes. 

• Prompt engineering and non-deterministic automated testing. 

• System Reliability Engineering, secure coding, and software security pipeline tools for installation, configuration, operation and monitoring. 

• Customer engagement systems and workflow platforms. 

• Jira, Confluence and Microsoft Power Platform, including Copilot Studio. 

Good to Have 

• Understanding of machine-learning models and how generative architectures such as GANs, VAEs and Transformers are deployed at scale across cloud or on-premises infrastructure. 

• Hands-on knowledge of scalable AI application patterns, RAG tooling, knowledge management services, and LLM access or control planes. 

• Passion for continuous learning and staying current with developments in AI and machine learning. 

People Capabilities 

Customer Focus: Creates value in every customer interaction and considers the total customer experience. 

Team and Culture: Inspires others to demonstrate CBA Group values and contributes to a passionate, high-performing culture. 

Continuous Improvement: Continuously improves and innovates to make experience simpler for customers and colleagues. 

Effective Communication: Communicates clearly and with impact to build understanding, engagement and commitment to action. 

Judgement: Uses CBA knowledge, industry information and financial drivers to guide decisions and actions. 

Drive Results: Takes initiative and accountability to achieve business outcomes. 

Education Qualification 

Bachelor’s degree in engineering or Master’s degree in Computer Science.

Advertising End Date: 26/11/2026