Chapter Lead - ML, Data Science, Gen AI, Agentic AI

Commonwealth Bank

. Lead a specialist chapter of data scientists working across Gen AI, agentic AI and machine learning .

Posted 11/9/2026full-timeSydney • AustraliaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading data science teams focused on machine learning, Gen AI, and agentic AI, while driving technical direction and best practices. Proficient in designing and deploying AI solutions that enhance customer protection against fraud and scams.

Highest-signal resume keywords

Machine Learning LeadershipGen AI Solutions DevelopmentPython ProgrammingMLOps ImplementationStatistical Analysis

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningGen AIAgentic AIStatisticsProbabilityNLPDeep LearningAI Solution DeploymentModel GovernanceRisk Management

Soft Skills

Strong CommunicationStakeholder InfluenceTeam CollaborationTechnical Leadership

Tools & Technologies

AWSAzureCI/CDContainerizationMonitoringObservabilityProduction-Grade AI Solutions

Certifications & Qualifications

Tertiary Qualification in Data ScienceTertiary Qualification in StatisticsTertiary Qualification in Computer ScienceTertiary Qualification in EngineeringTertiary Qualification in Mathematics

Industry Keywords

Responsible AIModel Behaviour InterpretationEnterprise Data PipelinesFraud ProtectionScam Prevention

Tech Stack

Tools & technologies

AWSAzurePythonSQL

About the role

Key responsibilities & impact

Lead a specialist chapter of data scientists working across Gen AI, agentic AI and machine learning
Shape technical direction and guide architecture and design decisions
Strengthen delivery practices and grow team capability
Design, develop and deploy machine learning, Gen AI and agentic AI solutions
Move ideas from experimentation through evaluation, validation, deployment and ongoing monitoring
Design and implement RAG, orchestration, guardrails and agentic AI systems
Partner with product, engineering, architecture, platform, MLOps, risk and business teams
Establish technical excellence and lead best practices across the chapter
Coach and develop data scientists through technical leadership, collaboration and knowledge sharing
Develop AI capabilities that help protect customers from fraud and scams

Requirements

What you’ll need

Proven experience leading teams across machine learning, Gen AI and agentic AI initiatives
Strong technical foundations in statistics, probability, machine learning and AI
Tertiary qualification in Data Science, Statistics, Computer Science, Engineering, Mathematics or a related discipline
Hands-on experience designing, developing, deploying and evaluating production-grade AI solutions using LLMs, NLP and conversational AI
Ability to interpret, evaluate and explain model behaviour
Advanced expertise in Python, MLOps, SQL and machine learning/deep learning frameworks
Experience integrating AI solutions into enterprise data pipelines
Experience with AWS or Azure, CI/CD, containerisation, monitoring and observability
Knowledge of responsible AI, model governance and risk management
Strong communication skills and ability to build trusted relationships, influence senior stakeholders and translate technical concepts for diverse audiences

Benefits

Comp & perks

International talent opportunity to experience working in Australia
Inclusion and respect across cultures, abilities, capabilities, skills, global locations, genders, gender expressions and sexual orientations
Career development opportunities
Accessibility support through HR Direct