Chapter Area Lead (Executive Manager) – Data Science and AI, Model Risk & Validation

💰 $4,200 - $6,720 (Est.) 📍 Sydney 🕐 4 days ago

Job Description

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 ****** orientation. Read more about our commitment to inclusion and diversity on our careers website.

Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive and flexible workplace. We are working hard to recruit people who represent the diversity of our customers and our society. If you're excited about this opportunity but you don't meet every single requirement, or your experience doesn't align perfectly, we still want to encourage you to send in your application. You may just be the perfect candidate for this opportunity or another within CommBank.

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, making a positive impact for customers, communities and each other is part of our every day.

We’re determined to make a real difference for Australia’s first peoples. We encourage all interested applicants to apply. If you’re already part of the Commonwealth Bank Group (including BankWest), 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.

If this sounds like the role for you then we would love to hear from you.

APPLY NOW to live your best life and do your best work with us!

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 1800XXXXXX.

Advertising End Date: 17/07/2026

💡 Quick Summary

Seeking a career-building opportunity? The Chapter Area Lead (Executive Manager) – Data Science and AI, Model Risk & Validation position is now open for candidates interested in the Bank Jobs sector. This role in Sydney offers a professional environment and growth potential.

Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.

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Job Details

Company Name: Commonwealth Bank

Frequently Asked Questions

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The expected salary for Chapter Area Lead (Executive Manager) – Data Science and AI, Model Risk & Validation in Sydney is $4,200 - $6,720 (Est.) per month. Actual compensation may vary based on experience and negotiation.
No, Chapter Area Lead (Executive Manager) – Data Science and AI, Model Risk & Validation is an on-site position based in Sydney. Candidates must be able to commute or relocate to this location.
Basic communication skills, a proactive attitude, and the ability to work in a team are required for Chapter Area Lead (Executive Manager) – Data Science and AI, Model Risk & Validation. Previous experience in Bank Jobs is a plus. Freshers may also apply depending on the employer's requirements.
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