AI Risk Governance Analyst

Sheikh Shakhbout Medical City

Key Responsibilities:

• Conduct comprehensive risk assessments of AI systems used in underwriting, claims processing, fraud detection, customer service, and other health insurance functions.
• Develop and maintain AI governance frameworks, policies, and standards aligned with industry best practices and regulatory requirements.

Regulatory Compliance:

• Monitor and interpret evolving regulatory landscapes around AI, data privacy (HIPAA, GDPR), and health insurance regulations.
• Ensure AI systems comply with applicable laws and ethical guidelines, including fairness, transparency, and bias mitigation.

AI Model Oversight:

• Collaborate with data scientists, AI developers, and business units to review AI models for risks related to accuracy, bias, explainability, and security vulnerabilities.
• Facilitate validation and stress-testing of AI models to ensure robustness and reliability.

Risk Reporting & Communication:

• Prepare and present risk reports, dashboards, and recommendations to senior management and governance committees.
• Educate stakeholders on AI risks, governance policies, and mitigation strategies.

Incident Management:

• Investigate AI-related incidents or failures, conduct root cause analysis, and recommend corrective actions.
• Lead or support AI risk audits and compliance reviews.

Ethical AI Advocacy:

• Promote ethical AI practices within the organization, including fairness, accountability, and inclusivity.
• Participate in industry forums and working groups related to AI governance and ethics in healthcare.

Qualifications:

• Bachelor s or master s degree Risk Management, Healthcare Administration, or a related field.
• Proven experience (3+ years) in AI risk management, governance, or compliance, preferably within health insurance or healthcare sectors.
• Understanding of AI/ML technologies, including common risks and mitigation strategies.
• Knowledge of health insurance regulations, data privacy laws (HIPAA, GDPR), and ethical AI principles.
• Experience with risk frameworks such as NIST, ISO 31000, or similar is a plus.
• Excellent analytical, problem-solving, and communication skills.
• Ability to collaborate across technical and business teams.

Preferred Experience:

• Industry Expertise: 3 5 years in AI risk governance, compliance, or ethics, preferably within health insurance or healthcare sectors.
• Technical Acumen: Experience with AI/ML models in production, including risk assessment, validation, and monitoring.
• Regulatory Knowledge: Familiarity with health insurance regulations and data privacy laws (e.g., HIPAA, GDPR).
• Risk Frameworks: Exposure to standards like NIST AI RMF or ISO 31000.
• Cross-Functional Collaboration: Experience working with data science, legal, compliance, and IT teams.
• Ethical AI Practices: Involvement in developing or managing ethical AI programs or initiatives.
• Audit & Compliance: Experience in AI-related audits and compliance reviews.