Chapter Lead, Data Science (Operations)
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Chapter Lead, Data Science (Operations)
Location
Sydney CBD Area
Experience
Senior
Posted
Jul 30, 2026
Apply by
August 7, 2026
Applicants
0
Early applicantEasy applyFull-timeHybrid
Job Description
See yourself in our team
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 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.
If you’re passionate about shaping the future of AI while helping others thrive, we’d love you to lead with us.
Key Responsibilities
Lead AI Innovation
- Drive the design, construction and deployment of a range of AI projects
- Accelerate adoption of advanced AI capabilities
Expand Data & AI Impact Across the Bank
- 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
Drive Continuous Improvement & Business Value through AI
- 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
We’re interested in hearing from people with the following skills.
Technical Leadership:
- Demonstrated capability in driving outcomes that are reusable and can be leveraged across the group
- Demonstrated intellectual curiosity with a passion for experimenting and exploring emerging technologies.
Technical Expertise:
- NLP & LLM: Hands-on experience applying NLP and Generative AI to unstructured text data, including customer complaints, documents and transcripts.
- Machine Learning: Strong grounding in classical machine learning and deep learning, with the ability to select appropriate techniques from simpler models to more complex approaches 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 to technical decision-making 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.
- 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, expressions of gender and sexual orientation. Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace. One where we’re driven by our values, and supported to share ideas, initiatives, and energy. One where making a positive impact for customers, communities and each other is part of our every day.
If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through [Sidekick](https://sidekick.hr.cba) to submit a valid application. We’re keen to support you with the next step in your career.
We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.
Advertising End Date: 06/08/2026
Key Responsibilities
- Drive the design, construction, and deployment of AI projects.
- Accelerate the adoption of advanced AI capabilities across the bank.
- Identify high-value AI use cases and champion the integration of Data Science methods.
- Ensure models follow best-practice engineering, governance, and deployment standards.
- Partner with operations teams to understand challenges and apply transformative AI capabilities.
- Drive redevelopment, optimization, and monitoring of AI models to support strategic business outcomes.
Skills Required
Machine LearningDeep LearningGenerative AIRAGAgentic SystemsStatistical AnalysisMLOpsCI/CDContainerisationData EngineeringAWSAzureNatural Language ProcessingLeadershipMentoringCommunicationProblem SolvingCollaborationCuriosityInclusion
Benefits
- Flexible working options
- Hybrid work model
- Inclusive and diverse workplace
- Accessibility support
- Job share arrangements
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