The AI Governance, Compliance & Ethics Specialist establishes and embeds responsible AI practices across organization, ensuring AI systems are designed, developed, and deployed in a transparent, secure, and compliant manner. This specialist works closely with data, legal, security, and business teams to embed ethical practices in AI initiatives and their implementation, ensuring trustworthy and compliant AI operations across organization.
About the Role
The AI Governance, Compliance & Ethics Specialist is responsible for ensuring that all AI systems and use cases meet ethical, regulatory, and governance standards, enabling trustworthy and responsible AI.
Responsibilities
• Ensure all AI systems and use cases meet ethical, regulatory, and governance standards, enabling trustworthy and responsible AI.
• Embed ethical-by-design principles into AI initiative lifecycles, reducing re-work, compliance risks, and deployment delays.
• Provide cross-functional leadership on ethical AI practices by working directly with architects, data scientists, and business owners throughout design, development, and monitoring stages.
• Oversee implementation of risk assessments, transparency documentation, fairness evaluations, and continuous monitoring of AI models.
• Develop and implement AI governance frameworks, policies, and standards to ensure responsible, transparent, and ethical AI development and deployment across DCD.
• Engage early with architects, data scientists, AI specialists, and the project manager to embed ethical and governance requirements into model design, data sourcing, architecture decisions, and implementation plans.
• Monitor AI systems for compliance with regulatory requirements, industry guidelines, data protection laws, and internal governance policies.
• Conduct AI risk assessments, including fairness, bias, explainability, accountability, privacy, and societal impact evaluations.
• Establish ethical AI guardrails and ensure all AI initiatives align with organizational values, legal expectations, and international best practices.
• Collaborate with technical teams to evaluate and validate high-risk use cases, models, and algorithms before approval and deployment.
• Define and oversee model documentation requirements—model cards, data sheets, audit logs, traceability, transparency reports, and lifecycle documentation.
• Develop auditing and monitoring mechanisms to detect drift, misuse, bias, and performance degradation throughout the model lifecycle.
• Oversee responsible data usage practices, ensuring lawful data sourcing, appropriate privacy controls, quality labelling, and consent management.
• Conduct training, awareness, and capability-building programs to instill responsible AI practices across the AI team and DCD units.
• Stay current with global and UAE AI regulatory developments, advising leadership on upcoming standards and compliance implications.
• Support the division manager in making informed decisions about ethical risks, mitigation strategies, and compliance considerations for AI initiatives.
Qualifications
• Bachelor's or Master's degree in Data Science, AI/ML, Computer Science, Cybersecurity, Law, Ethics, or a related field.
• 6+ years of experience in AI governance, data governance, compliance, risk management, or responsible AI initiatives.
• Strong understanding of AI ethics principles, fairness/bias detection, explainability, model transparency, and responsible AI frameworks.
• Knowledge of global AI regulations and standards (e.g., UAE AI Act, OECD AI Principles, ISO/IEC 42001, data protection and privacy laws).
• Experience working with cross-functional teams (legal, data, security, engineering) to evaluate, approve, and monitor AI models and high-risk use cases.
• Strong analytical, documentation, and communication skills with the ability to translate complex AI concepts into governance and compliance requirements.
Required Skills
• Strong understanding of AI ethics principles.
• Experience in compliance and risk management.
• Ability to work with cross-functional teams.
• Strong analytical and communication skills.
Preferred Skills
• Knowledge of global AI regulations and standards.
• Experience in developing governance frameworks.
• Familiarity with AI model evaluation and monitoring.
Equal Opportunity Statement
We are committed to diversity and inclusivity in our hiring practices and encourage applications from all qualified individuals.
