Executive Chapter Lead, Gen AI & Model Validation

Commonwealth Bank of Australia; Sydney; On-site; AUD 180,000 - 300,000; Full time

Job summary

Commonwealth Bank of Australia (CommBank) isSeeking an Executive Manager to lead the Data Science and Gen AI Validation chapter. You will guide a team across Australia and India, driving scalable model validation and tooling development, ensuring AI models are safe, scalable, and aligned with regulatory expectations.

You will influence senior stakeholders, own governance interactions, and shape the future of AI model validation at scale within risk management.

Qualifications

• Proven experience leading high-performing multidisciplinary teams with Gen AI, data science, and software engineering.
• Mentoring data scientists and leading technical initiatives.
• Agile project management experience.
• Automation tools to drive workflow improvements.
• Independent judgement and self-directed learning.
• Strong stakeholder management and communication.
• Knowledge of model risk governance is desirable.

Responsibilities

• Lead a chapter of data scientists across Australia and India.
• Plan and run the chapter's validation work, prioritising engagements and delivering on time with quality.
• Lead the development of validation tooling and methods and challenge methodologies.
• Engage senior stakeholders, model owners, governance experts and internal audit.

Skills

Gen AI

Leadership

Project management

Stakeholder management

Communication

Mentoring

Agile workflows

Self-directed learning

Education

Degree in Statistics/Data Science/CS/Engineering

Tools

Python

GitHub

CI/CD

SQL

PyTorch

Job description

Commonwealth Bank of Australia (CommBank) isSeeking an Executive Manager to lead the Data Science and Gen AI Validation chapter. You will guide a team across Australia and India, driving scalable model validation and tooling development, ensuring AI models are safe, scalable, and aligned with regulatory expectations.

You will influence senior stakeholders, own governance interactions, and shape the future of AI model validation at scale within risk management.