Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
About the Role
As a Chapter Lead, you will balance hands-on technical contribution with people leadership, guiding and growing a team of data scientists. You will work in cross-functional squads with engineers and other experts to design and deliver innovative, responsible AI solutions, staying at the forefront of emerging technologies and fostering a culture of curiosity, inclusion, and continuous learning.
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
Requirements
- 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.
- Hands-on experience applying NLP and Generative AI to unstructured text data, including customer complaints, documents and transcripts.
- 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.
- 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.
- Experience defining fit-for-purpose evaluation metrics, guiding experimentation, and applying sound statistical judgement to technical decision-making across the AI lifecycle.
- Proven ability to take models from prototype to production, including version control, CI/CD practices, containerisation, deployment, monitoring, and ongoing iteration.
- Working knowledge of data pipelines and integration patterns, and experience collaborating on scalable, reliable data and AI architectures.
- 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.
Skills
- NLP & LLM
- Generative AI
- Machine Learning
- Statistical Expertise
- Production AI & MLOps
- Data Engineering & Architecture
- Technical Leadership & Delivery
About the Company
- 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.
Equal Opportunity
- 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.