Chapter Area Lead (Executive Manager) – Data Science and AI, Model Risk & V at Commonwealth Bank
Sydney, New South Wales, Australia -
Full Time


Start Date

Immediate

Expiry Date

04 Oct, 25

Salary

0.0

Posted On

05 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

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

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.

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
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