Technology Product Owner

Overview

Own a portfolio of Gen AI platforms and services used across CBA, including the product roadmap, backlog and delivery of tools that enable crews to use Generative AI safely in a heavily regulated environment.

What you'll do

• 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.

What you'll need

• 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.
• Cloud solution architecture, preferably AWS and Azure.
• 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.
• Bachelor's degree in engineering or Master's degree in Computer Science.

Nice to have

• Exposure to services such as Amazon SageMaker or equivalent AI platforms is valuable.
• 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.

Details

• Location: Bangalore - Manyata Tech Park Road.
• Direct line reporting to CAL, Gen AI.
• Existing Commonwealth Bank Group employees (including Bankwest, x15ventures) must apply through Sidekick.