At the heart of the Chief Operations Office (COO), we're reimagining how we serve customers in operations through the power of transformative AI solutions. As a Chapter Lead reporting to the Chapter Area Lead of Data Science in COO, you'll balance hands‐on technical contribution with people leadership—guiding and growing a team of data scientists while working in cross‐functional squads with engineers and other experts to design and deliver innovative, responsible AI solutions.
You'll stay at the forefront of emerging technologies, fostering a culture of curiosity, inclusion, and continuous learning, and translating complex ideas into high‐impact outcomes for customers and colleagues.
Key Responsibilities
* Drive the design, construction and deployment of a range of AI projects.
* Accelerate adoption of advanced AI capabilities.
* Identify high‐value AI use cases and champion the integration of Data Science methods across processes.
* Ensure models follow best‐practice engineering, governance and deployment standards.
* Partner closely with operations teams to understand challenges and apply transformative AI capabilities.
* Drive redevelopment, optimisation and monitoring of AI models to support strategic business outcomes.
Skills & Experience
Technical & People Leadership
* Demonstrated capability in driving reusable outcomes that can be leveraged across the group.
* Intellectual curiosity and passion for experimenting with emerging technologies.
* Ability to lead and mentor teams while remaining hands‐on, fostering a supportive and inclusive culture that values learning, thoughtful decision‐making and sustainable delivery of real‐world impact.
Technical Expertise
* Data: Experience designing and delivering AI solutions using structured and unstructured data, with particular strength in natural language data.
* Machine Learning: Strong grounding in classical machine learning and deep learning, with the ability to select appropriate techniques based on problem context, constraints and impact.
* Generative AI: Hands‐on experience designing, building and deploying Generative AI solutions, including RAG and agentic systems, with a pragmatic understanding of their limitations, risks and costs.
* Statistical Expertise: Experience defining fit‐for‐purpose evaluation metrics, guiding experimentation and applying sound statistical judgement across the AI lifecycle.
* Production AI & MLOps: Proven ability to take models from prototype to production, including version control, CI/CD practices, containerisation, deployment, monitoring and ongoing iteration.
* Data Engineering & Architecture: Working knowledge of data pipelines and integration patterns, and experience collaborating on scalable, reliable data and AI architectures.
* Cloud Platforms: Experience designing or deploying AI solutions on cloud platforms such as AWS or Azure, with awareness of scalability, cost and operational considerations.
* Technical Leadership & Delivery: Ability to lead and mentor teams while remaining hands‐on, balancing curiosity and continuous learning with a strong focus on delivery, value creation and real‐world impact.
Working with Us
At CommBank, we advocate and facilitate a culture of inclusion and respect, celebrating all cultures, abilities, genders and expressions of gender and sexual orientation. Our people bring diverse backgrounds and unique perspectives to build a respectful, inclusive and flexible workplace. We are committed to being an accessible employer and offer flexible working arrangements.
We're hiring talent from across Australia and have technology hubs in Melbourne and Perth. If you are already part of the Commonwealth Bank Group, you can apply through Sidekick. If you require additional support due to accessibility issues, please contact HR Direct.
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