Chapter Lead, Data Science (Operations) at Commonwealth Bank

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

01 Oct, 26

Salary

0.0

Posted On

03 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Innovation, People Leadership, Natural Language Processing, Machine Learning, Deep Learning, Generative AI, RAG, Agentic Systems, Statistical Analysis, MLOps, CI/CD, Containerisation, Data Engineering, AWS, Azure, Technical Mentorship

Industry

Financial Services

Description

Permanent Full Time Opportunity Drive the future of AI innovation at scale You are a visionary leader with a growth mindset, combining deep technical fluency with the ability to inspire and scale impact across the enterprise. We're one of the largest and most advanced Data Science practices in the country Together we can build state-of-the-art Data Science models that power seamless experiences for millions of customers 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 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. 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 & People 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 Demonstrated ability to lead and mentor teams while remaining hands-on, fostering a supportive and inclusive team culture that values learning, thoughtful decision-making, and sustainable delivery of real-world impact. Technical Expertise Data: Experience designing and delivering AI solutions using a range of 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—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. 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, expressions of gender and sexual orientation Read more about our commitment to inclusion and diversity. 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. We’re committed to being an accessible employer and want to make finding your dream job as easy as possible. If you experience any accessibility issues or if you require additional support, please contact HR Direct. We support our people with the flexibility to balance where work is done with a hybrid approach of at least half your time each month connecting in office. We also have many other flexible working options available including changing start and finish times, part-time arrangements and job share to name a few. Talk to us about how these arrangements might work for you. Here, you’ll thrive. You’ll be supported when faced with challenges and empowered to tackle new opportunities. We’re hiring talent from across all of Australia and have opened technology hubs in Melbourne and Perth. We really love working here, and we think you will too. If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick 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: 09/07/2026 Whether you’re passionate about customer service, driven by data, or called by creativity, a career with CommBank is for you. 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. Here, you’ll thrive. You’ll be supported when faced with challenges, and empowered to tackle new opportunities. We really love working here, and we think you will too.

Responsibilities

Lead the design and deployment of AI projects and Generative AI solutions within the Chief Operations Office. Balance hands-on technical contribution with people leadership to mentor data scientists and drive business value.