Chapter Area Lead

**Chapter Area Lead (Executive Manager) - Data Science and AI, Model Risk & Validation**
- You are curious and passionate about advanced ML and Gen AI models
- We are ambitious in transforming lives of customers using ML and Gen AI
- Together we will deliver innovative Gen AI solutions at scale to our customers

**Do work that matters**

At CommBank, we’re redefining the future of banking through world-class AI innovation. From our executive leadership to our data scientists that collectively deliver highly impactful outcomes, we’re on a mission to transform financial services by integrating cutting-edge AI into every customer experience.

Our strategic focus lies in delighting our customers at every touchpoint, offering outstanding service, and meet the needs of our customers.

**See yourself in our team**

CommBank is leading the world of Gen AI and Agentic AI in banking by venturing into new-to-the-world innovations. We're on the cutting edge, embracing AI technologies to reshape how we operate and serve our customers. When you join CommBank, you’re joining a team that values expertise and innovation, and you’ll be empowered to lead projects that push the boundaries of what's possible.

Model Risk & Validation is part of the Enterprise Risk function and provides considered challenge to improve modelling outcomes.

We’re seeking an exceptional AI & General Models Chapter Area Lead to drive strategic AI validation initiatives and solutions at scale across the Model Risk & Validation team. You’ll lead high-impact work focused on delivering robust Generative AI and Machine Learning models, shaping the future of customer engagement and innovation at scale. Your leadership will be crucial in helping the domain achieve its customer priorities.

As a leader, you’ll co-create the AI validation strategy and work with top-tier data science teams to ensure we delivery robust solutions that matter the most.

**Your Impact**
- Drive the strategic design and delivery of the validation of Gen AI and Agentic AI systems that transform banking services.
- Lead and coach teams to uplift the overall outcomes on data science and modelling initiatives and capabilities across our business and support units.
- Influence cross-functional teams and senior stakeholders to safely embed AI into key decision-making.

**Key Responsibilities**:

- Own and actively manage the AI and data science model validation processes, risks and controls
- Leading a team of 20+ data scientists across Australia and India:

- Recruitment, retention, coaching and career development
- Delivery of model validation activity
- Ensuring the quality of the scope and outcomes of the team’s work
- International travel will be required from time-to-time
- Leading thought leadership on AI and other as it relates to:

- model methodologies
- next-gen technology adoption (analytics toolset and data models)
- contributions to policy, standard and procedure development
- Develop and execute strategic transformation agenda:

- Development and adoption of tooling to improve speed of development and validation activity
- Maintain and iterate model validation procedures in a dynamic environment
- Leading the interactions with stakeholders.
- BU / SU-aligned data scientists involved in development, and model owners and monitors
- Centralised AI data scientists and AI acceleration stream leads
- Internal audit
- Present to the Model Risk Governance Committee and other committees as required

**We’re interested in technical leaders who can bring**:
**Leadership and Vision**:

- Proven ability to lead high-performing, multidisciplinary data science and gen AI teams.
- Deep understanding of how gen AI and agentic AI can transform customer experiences and knowledge of agile delivery practices.
- Strong executive presence with the ability to inspire and communicate technical vision clearly across diverse group of stakeholders to uplift the Data Science community.

**Technical Excellence in Data Science, Machine Learning and AI**:

- **Data Science, Machine Learning and AI**:Strong expertise in implementing real-time use cases using traditional Machine Learning, model risk, model validation, model deployment and MLOps.
- **Tooling Mastery**:Hands-on experience with gen AI, RAG, guardrail design, Python, Quarto / JupyterLab, and Git / Github / Github Copilot, AWS Sagemaker, AWS Bedrock, and H2O.ai (preferred)
- **Education and background**:Degree in any one of the quantitative fields including Mathematics, Data Science, Statistics, Actuarial studies, or Physics.

**Working with us**

Whether you’re passionate about customer service, driven by data, or called by creativity, a career here is for you. 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 on our careers website.

At CommBank we will inspire you wi