Be responsible for defining and monitoring the technical controls that underpin the safe, ethical, and compliant use of AI systems across Transport for NSW
This role delivers three critical technical foundations for AI governance: defining technical controls that establish standards and guardrails for AI systems; tooling selection/setup for AI lifecycle management including model/agent monitoring, use case registration, and risk assessment platforms; and reference architecture development that provides technical blueprints and patterns for compliant AI implementation
Working closely with the Senior Manager Data Management, this role identifies and establishes tooling for AI lifecycle management, including model/agent monitoring and use case registration and risk assessment
In partnership with various Technology and Architecture stakeholders, this role develops reference architecture, security and data protection patterns, and evaluation/testing processes to ensure AI systems meet NSW and international standards
This position plays a critical role in embedding proportionate and practical technical guidelines and assurance into the AI Governance Framework, ensuring that controls are aligned with frameworks such as AIAF, NIST AI RMF, and ISO/IEC 42001/23894
This role is not responsible for delivery or operational implementation of other business AI use case solutions or projects only provide advisory and review

Requirements

A degree qualification within Data Science, Computer Science, Engineering, and/or Statistics
Significant experience and understanding of industry best practices / trends in AI Governance and Data Governance
Proficiency in developing and reviewing AI models, including large language models (LLMs)
Familiarity with AI/ML systems, evaluation frameworks, and emerging AI risks
Proficiency in selecting and setting up tooling for AI lifecycle management, including model/agent monitoring, use case registration, and risk assessment platforms
Ability to define and monitor technical controls for AI systems, ensuring alignment with security, data protection, privacy, and responsible-AI standards
Demonstrated experience in ICT architecture, cyber security, or data governance
Familiarity with AI/ML systems, evaluation frameworks and emerging AI risks
Knowledge of AI assurance standards (NIST, ISO) and NSW government security and privacy frameworks
Experience collaborating with Data & Analytics, Cyber, data & technology architects, Legal, Privacy, Ethics and Procurement to embed technical compliance requirements into sourcing and assurance
Critical soft skills will include the ability to negotiate, influence, multitask, a ‘can do’ attitude, pro-active, systematic, solution driven, and engaging

Benefits

Flexible and hybrid work options
Award-winning flexible work arrangements

Applicant Tracking System Keywords

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

Hard Skills & Tools

AI governanceData governanceAI modelsLarge language modelsAI lifecycle managementModel monitoringUse case registrationRisk assessmentICT architectureCyber security

Soft Skills

NegotiationInfluenceMultitaskingProactiveSystematicSolution drivenEngagingCan do attitude

Certifications

AIAFNIST AI RMFISO/IEC 42001ISO/IEC 23894