Chapter Lead (Executive Manager) - Data Science and Gen AI, Model Risk...

CommBank

Sydney

On-site

AUD 250,000 - 350,000

Full time

5 days ago
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Job summary

CommBank seeks an experienced Chapter Lead (Executive Manager) for Data Science and Gen AI, Model Risk Validation. You will lead a high-performing team across Australia and India, delivering robust validation and tooling to ensure safe, scalable AI models. The role emphasizes governance, automation, and cross-functional collaboration.

You’ll work with senior leaders, product owners and regulators, driving innovation while maintaining accountability and model risk controls across the organization.

Qualifications

  • Degree in Statistics, Data Science, Computer Science, Actuarial Science, Engineering, or related field or equivalent experience.
  • Advanced Python and modern ML tooling.
  • Experience in validating GenAI and traditional models.
  • Strong stakeholder management and communication abilities.
  • Experience in agile environments and automation tooling.

Responsibilities

  • Lead a multidisciplinary data science chapter across Australia and India.
  • Plan and run chapter validation work, prioritising engagements and delivering quality on time.
  • Develop validation tooling and methods to challenge design and evidence.
  • Engage executives, model owners, central AI teams and internal audit.
  • Coach, hire and drive career development within the chapter.

Skills

Advanced Python
GitHub
CI/CD
SQL
R
TypeScript
LangChain
LangGraph
OpenAI Agents SDK
PyTorch
AWS SageMaker

Education

Degree in Statistics/Data Science/CS/Engineering

Tools

LangChain
LangGraph
OpenAI Agents SDK
PyTorch
AWS SageMaker

Job description

Chapter Lead (Executive Manager) - Data Science and Gen AI, Model Risk...

Chapter Lead (Executive Manager) - Data Science and Gen AI, Model Risk Validation


You’re passionate about leading high-performing teams and validating cutting-edge AI models


We’re transforming financial services through scalable and ethical AI innovation


Together, we’ll deliver robust model validation frameworks that drive trust and impact


Do Work That Matters


At CommBank, we’re redefining the future of banking through world-class AI innovation. AI & General Model Validation (AIGMV) provides independent technical challenge and review of the Group's most important ML and AI models, across business and support units. As a Chapter Lead (Executive Manager) in our AI & General Model Validation team, you’ll lead a talented group of data scientists across Australia and India, driving excellence in model validation and tooling development.


You’ll play a key role in shaping AI models at CommBank, ensuring our models are safe, scalable, and aligned with customer and regulatory expectations. You will represent the chapter with model developers, senior business leaders, product owners and governance experts.


See Yourself in Our Team


CommBank is leading new-to-the-world innovations. As part of our team, you’ll be empowered to shape the future of AI in financial services, working alongside top-tier talent in a collaborative, inclusive environment. Model Risk & Validation is part of Risk Management and provides considered challenge to improve modelling outcomes.


We’re seeking an exceptional AI Chapter Lead (Executive Manager) to shape the future of AI model validation at scale. You’ll be part of a collaborative, forward-thinking team committed to ethical AI, innovation, and continuous learning at scale.


Your Impact:


Lead a chapter of data scientists across Australia and India, including hiring, coaching, performance and career development. Occasional international travel may be required.


Plan and run the chapter’s validation work, from prioritising engagements to delivering on time at a consistent quality bar.


Lead the development of validation tooling and methods and stay close enough to the work to challenge methodology and evidence.


Engage senior stakeholders, including General Managers, model owners, central AI teams and internal audit.


We are interested in people with:


Leadership & Vision:


Proven experience in leading high-performing multidisciplinary teams with Gen AI, data science, and software engineering skill sets. Experience in mentoring data scientists and leading technical initiatives.


Project management experience in agile environments.


Enthusiastic about developing automation tools to drive continuous workflow improvements.


A courageous mindset and independent judgement. You enjoy self-directed learning, and have the curiosity and discipline to stay ahead of fast-changing AI techniques and risks


Strong stakeholder management skills. Exceptional communication skills and a growth mindset.


Knowledge of model risk governance and validation processes is desirable.


Technical Excellence: The ideal candidate will have depth across several of the areas above. We do not expect mastery of every technology listed.


Deep working knowledge of GenAI and agentic architectures with enough depth to challenge the design.


Hands-on experience designing, building and evaluating AI and Generative AI solutions. Fine-tuning transformer models is a plus.


Advanced Python, with strong GitHub, version control and CI/CD experience. SQL, R or TypeScript is a plus.


Ability to read and navigate unfamiliar codebases, reproduce evaluation pipelines, write test harnesses and inspect trace data


Practical experience with AI coding agents (including Claude Code, Codex and GitHub Copilot) and skills, sub-agents, hooks and plugins that automate validation or engineering workflows.


Working knowledge of traditional machine learning models, including random forests, XGBoost, and related evaluation methods, and the ability to validate and challenge them.


Experience with current GenAI frameworks and tools such as LangChain, LangGraph, OpenAI Agents SDK, Pydantic, Langfuse/HoneyHive, and with PyTorch or AWS SageMaker


Ability to assess the risks, limitations, monitoring requirements and control effectiveness of AI and agentic systems


Degree in Statistics, Data Science, Computer Science, Actuarial Science, Engineering, or a related field, or equivalent industry experience.


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 career’s website.


At CommBank we will inspire you with work that makes a difference, surround you with talented people that respect and value each other, and empower you to grow professionally and personally. Most of all, makinga positive impact for customers, communities and each other is part of our every day.

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