AI & Data Risk & Governance Specialist

Hudson Global, Inc.; Brisbane; Hybrid; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work flexibility

Exposure to AI governance models

Career development opportunities

Job summary

Hudson Global, Inc. is seeking a Risk Specialist for the L1 Data & AI team in Australia. You will operationalise the enterprise Risk Management Framework across analytics, privacy, ML, and AI technologies, working with data scientists, engineers, risk leaders, and privacy teams to balance rapid innovation with regulatory discipline.

You will maintain risk artefacts, coordinate assessments, and produce executive risk reports, contributing to governance and compliance across AI initiatives.

Qualifications

• 5+ years of risk management experience in a highly regulated environment.
• Strong knowledge of core risk principles (RCSA, control testing, risk profiling, remediation, KRI reporting).
• Exposure or interest in data risk, privacy regulations, AI governance.

Responsibilities

• Maintain artefacts, registers, control libraries, and maturity roadmaps for Data, Privacy & AI Risk Framework.
• Coordinate risk/control assessments, map controls to obligations, test validation, track remediation to closure.
• Operate Data & AI Risk Dashboard, track KRIs and prepare leadership/Board risk packs.

Skills

RCSA

Control design/testing

Risk profiling

Issue/incident remediation

KRI reporting

Data risk awareness

Education

Tertiary qualification in Risk Management, Business, Law, IT, Data Analytics, Cyber Security

Job description

Hudson Global, Inc. is seeking a Risk Specialist for the L1 Data & AI team in Australia. You will operationalise the enterprise Risk Management Framework across analytics, privacy, ML, and AI technologies, working with data scientists, engineers, risk leaders, and privacy teams to balance rapid innovation with regulatory discipline.

You will maintain risk artefacts, coordinate assessments, and produce executive risk reports, contributing to governance and compliance across AI initiatives.