EYTechnology Risk Senior - AI Governance
About this role
The opportunity:
We’re looking for professionals who have at least 4 years or more of experience. You will collaborate closely with cross functional teams to address issues, to deliver seamless support to clients. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering.
Skills and Summary of Accountabilities:
- Exposure working in client facing roles, collaborate with cross functional teams including internal audits, IT security and business stakeholders to assess control effectiveness and facilitate remediation activities.
- Design, assess, and advise on enterprise AI governance frameworks, policies, standards, and controls.
- Support AI assurance, audit, and compliance reviews through governance evidence, control assessments, and risk mitigation activities.
- Preferred knowledge/understanding of experience in IT Controls, Risk and Compliance.
- Design IT Risk Controls framework such as IT SOX.
- Testing of internal controls such as IT general controls, IT application controls, IPE related controls, interface controls etc.
- Perform AI governance reviews, control assessments, and compliance evaluations against established frameworks, policies, and regulatory requirements
- Conduct AI risk assessments covering bias, fairness, explainability, privacy, security, model risk, hallucinations, and regulatory compliance.
- Maintain AI inventories, model registers, risk classifications, and governance documentation to ensure transparency and accountability.
- Collaborate with Data Science, Engineering, Legal, Risk, Compliance, Cybersecurity, and business teams to assess governance compliance, review controls, and provide independent oversight across AI development and deployment processes.
- Monitor AI risk indicators, model performance, control effectiveness, and compliance metrics, providing governance reporting and executive dashboards.
- Assess and evaluate Data Governance, Data Quality, Metadata Management, Data Lineage, and Model Governance controls to support AI governance and risk management objectives
- Promote ethical AI adoption by ensuring fairness, transparency, accountability, privacy, and security are integrated into AI solutions.
- Assess the design and operating effectiveness of governance controls, Human-in-the-Loop (HITL) controls, approval workflows, and lifecycle governance checkpoints for Machine Learning, Generative AI, LLM, and Agentic AI solutions
To qualify for the role, you must have:
- 4+ years of experience in AI Governance, Model Governance, Technology Risk, AI Risk Management, Data Governance, or Compliance.
- Experience in ITGC, ITAC, SOX, Technology Risk, Internal Audit, Risk & Compliance, or GRC engagements is preferred.
- Strong understanding of Responsible AI principles, AI governance frameworks, and AI/ML lifecycle governance.
- Knowledge of AI regulations and standards such as ISO 42001, NIST AI RMF, EU AI Act, and GDPR.
- Experience performing AI risk assessments, governance reviews, control evaluations, and compliance reporting.
- Understanding of Machine Learning, Generative AI, Agentic AI, and associated governance risks.
- Familiarity with AI and cloud platforms such as Azure AI, Azure OpenAI, Databricks, Microsoft Fabric, AWS, or Google Cloud from a governance, risk, compliance, or controls perspective
- Proficiency with collaboration and governance tools such as Jira, Confluence, Azure DevOps, SharePoint, and ServiceNow.
Ideally, You'll Also Have:
- Bachelor’s degree in computer science, Information Systems, Data Science, Risk Management, Cybersecurity, or related disciplines.
- Relevant certifications are considered a plus
- Strong analytical and problem-solving skills.
- Excellent stakeholder management and communication skills.
- Ability to work collaboratively in cross-functional teams within a fast-paced environment.
EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
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