Execute design effectiveness (DE) and operating effectiveness (OE) testing of controls related to Data Governance and AI Governance.
Develop and document test steps and test scripts aligned to approved testing methodologies and risk frameworks.
Perform reperformance testing, sampling, and evidence validation to assess control execution.
Provide risk, control, and process advisory support to business and technology partners related to Data and AI governance.
Lead and conduct walkthroughs with control owners and stakeholders to understand end-to-end processes related to in-scope control activities.
Create and maintain high-quality testing and advisory documentation, including workpapers, test scripts, walkthrough notes, risk assessments, and conclusions.
Requirements
3–5 years of relevant experience in control testing, risk management, audit, governance, or advisory functions.
Demonstrated experience performing control design and operating effectiveness testing.
Experience supporting or contributing to risk assessments and control evaluations.
Strong analytical skills with the ability to interpret complex governance, risk, and technical artifacts.
Strong written and verbal communication skills, including issue write-ups and advisory discussions.
Required: CISA, CRISC or CGRC.
Preferred: CDMP or AIGP
Preferred Experience in Data Governance, AI Governance, Model Risk Management, or Technology Risk.