Gen AI Technology Product Owner - Senior Manager

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. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things.
Job Title: Gen AI Technology Product Owner - Senior Manager
Location: Bengaluru-Manyata Tech Park

Business & Team: As we continue our pursuit of NPS +30 we need to transform the way we engage with our customers and colleagues. This requires a shift from a two-track digital vs assisted approach to instead a deeply personal and empathic end-to-end digital experience enriched and augmented by our colleagues. This will require self-healing adaptive work orchestration systems that can blend the capabilities of our colleague, AI, and APIs. These systems must be able to handle the high frequency of exceptional circumstances that arise during our customer journeys, all while remaining compliant with policies and regulations without the significant change and maintenance burden of today. The Gen AI Domain has been set up to build the tools and capabilities needed within the group tapping into the promise of Generative AI as a key technology to solve those needs. This team will be leading an initiative called “Transformer Banking”.
This domain within CDAO is focused on solution practices, tools and platforms required to successfully leverage Large Language Models, rather than the tools and capabilities required to create those models. We will accomplish this through building: technology platforms and tools such as the Gen AI Hub including RAG tooling, knowledge management services, LLM access and control planes; business platforms and tools such as the Customer Conversation Manager and Customer Activity Manager; and practice capability co-creating patterns and practices for Gen AI usage in solutions with crews across CBA leveraging our services alongside other frameworks/libraries.
Gen AI domain will provide services, tools and practices to enable crews across CBA to safely and effectively leverage Generative AI as components of more traditional solutions. We are looking for people who can thrive in a high level of ambiguity, have a strong team culture, are obsessed about customer needs, constantly think about how to effectively manage a wide variety of risks, and are passionate about the potential to lead the world in transforming a large enterprise in a heavily regulated environment using Gen AI as the technology evolves.
Impact & Contribution: As a Product Owner, you’ll be accountable for a set of the Gen AI platforms and services owned by the Gen AI domain used across CBA by crews to solve key customer needs. You will be responsible for deeply understanding the needs of our end customers and internal consumers, owning the roadmap of the products, accountable for ensuring the product meets those needs and working with the Group Practice Lead – Gen AI solutions to ensure customer success

Roles & Responsibilities:

You are a product owner passionate about solving customer needs through technology, have a strong background in software engineering and excited by the challenge of building safe and reliable systems on cutting edge technology. 

• The Product Owner is responsible for defining the vision for the product, setting the direction and goals for the development team. Work with specialized & emerging engineering profiles like Knowledge engineering, prompt engineers and platform engineers and data scientists/ analysts to build reliable, resilient and future adaptive Gen AI applications/ deployable solutions.
• Managing the product backlog: The Product Owner is responsible for managing the product backlog, prioritizing features and user stories, and ensuring that the development team is working on the most valuable tasks.
• Use your engineering background to deeply understand the customer need for the platforms targeting internal engineers (within the Gen.AI Hub crew), or to engage with your crew to understand the feasibility of transformative business capabilities (within the Gen.AI Business Platforms crew). 
• Prioritise the crew backlog based on balancing business partner demands and long-term sustainability of your products and services, in order to optimise the overall customer experience, NPS scores, cost reduction and risk profile.
• Engage with SRE teams, consuming service owners, the controls and risk communities to incorporate risk management into the platforms and deliver platform resilience. 
• Manage product delivery expectations and status reporting to technology and business stakeholders. 
• Be accountable for the risks, costs & benefits of your platforms and services, driving the adoption of reliability, testing practices, and responsible AI. 
• Understanding that Gen AI technology is incredibly fast moving, you will help the engineers within your squad to understand which aspects of the solution need variability vs stability.
• Be self-motivated to keep learning while delivering concrete outcomes for customers. 
• Be an ambassador in driving the Gen AI transformation across the bank working with the Group Practice Gen AI Solutions lead, sharing information and supporting other teams in their learning journey, and building an open learning culture within the practice.

We are interested in hearing from people who are: 

• Proficient in understanding the banking domain workflows under customer experiences like disputes management process flow and how orchestration of multiple workflows happen to execute a case.
• Experience in delivering complex, high profile digital capability and services, and prioritising accordingly. 
• Exceptional stakeholder engagement skills, good attention to detail, with both verbal and written communication. 
• An engineering background, with a background in software development, data engineering, or data science. 
• Experienced at building and operating a technology platform used internally or externally within a company. 
• A desire to champion best practice and innovative customer experiences, engagements and product development. 
• Customer-obsessed in always asking why and being able to determine the unmet needs of your customers. 
• Adept at leading engineering teams that build and scale distributed systems, tools and frameworks in a public, private or hybrid cloud environment. 
• Enthusiastic about driving responsible Gen AI solutions by challenging technology limitations and deficiencies in the existing systems and associated processes, procedures, and methods.

Essential Skills:

• Minimum of 12 years of experience in relevant field.
• Good to have understanding of various machine learning models, especially how generative models like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformers are deployed in large-scaled infrastructure, cloud or on-prem
• Experience with cloud platforms preferably AWS for building scalable AI applications. Knowledge of services like SageMaker, or AI Platform is valuable.
• Strong software development skills, including version control (e.g., Git), debugging, testing, and documentation. Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes) is beneficial.
• Knowledge of installing, configuring, operating, and monitoring software security pipeline tools
• In addition to technical skills, a generative AI platform engineer should also possess strong problem-solving skills, the ability to collaborate in multidisciplinary teams, and a passion for learning and staying updated with the latest advancements in AI and machine learning.
• Tech skills: We use a broad range of tools, languages, and frameworks. We don’t expect you to know them all but experience or exposure with some of these (or equivalents) will set you up for success in this team: 
  • Jira
  • Confluence 
  • MS Power Platform (inc. CoPilot Studio) 
  • Cloud Solution Architecture (AWS + Azure) 
  • Python / TypeScript / C#
  • Prompt Engineering
  • Non-deterministic automated testing 
  • System Reliability Engineering 
  • Secure Coding 
  • Customer engagement systems 
  • Workflow platforms

Education Qualification: Bachelor’s degree/Master’s degree in Engineering in Computer Science/Information Technology.

Advertising End Date: 29/11/2024