AI Systems & Governance – Specialist

Support the responsible design, deployment, and governance of AI-enabled systems across , ensuring that AI use cases are aligned with organizational strategy, risk controls, and ethical standards.
Act as the operational custodian of AI governance practices by helping translate enterprise AI policies into practical controls, workflows, and system configurations.
Enable safe and effective adoption of automation and AI capabilities while maintaining transparency, accountability, and compliance.

Key Responsibilities 
• Support the implementation of AI governance frameworks, standards, and guardrails across AI and automation initiatives.
• Maintain inventories of AI use cases, models, and automation workflows.
• Assist in risk assessment and classification of AI use cases, including bias, explain ability, and operational risks.
• Coordinate documentation of model assumptions, intended use, limitations, and governance approvals.
• Support deployment readiness checks for AI-enabled solutions in collaboration with technical teams.
• Monitor AI systems for compliance with governance standards and escalate risks when required.
Governance Responsibilities
• Maintain AI governance documentation and lifecycle tracking.
• Support review processes for new AI use cases before deployment.
• Ensure alignment of AI initiatives with enterprise architecture and data governance standards.
• Contribute to governance reporting related to AI adoption and risk management.
Compliance Responsibilities
• Support compliance with data protection and responsible AI principles.
• Ensure AI systems handling personal or sensitive data follow approved controls.
• Collaborate with Legal and Cybersecurity teams to align AI implementations with regulatory and policy requirements.
• Maintain traceability and documentation to support auditability of AI decisions and processes.
Data Accountability
• Ensure AI systems use approved and governed data sources.
• Coordinate with Data Engineer and Data Scientist to validate data suitability and governance alignment.
• Support monitoring of data drift, model performance, and data-related risks.
• Promote transparency around data usage in AI workflows.
Systems Accountability
• Support integration of AI services into enterprise systems in collaboration with Systems Integration.
• Ensure AI automations align with system reliability and operational standards.
• Maintain documentation of AI system dependencies and operational controls.
• Support testing and validation of AI-enabled workflows before production use.

Skills:-

Bachelor’s degree in cybersecurity, information security, access governance, or IT security architecture roles.

4 years experience in AI governance, analytics operations, automation governance, or related digital roles.

Understanding of AI/ML concepts, model lifecycle, and automation workflows.
• Familiarity with responsible AI principles (bias, explain ability, transparency, risk controls).
• Working knowledge of data governance and enterprise architecture concepts.
• Experience with AI-enabled tools or platforms (Azure AI, OpenAI integrations, or equivalent is an advantage).
• Basic understanding of APIs, integrations, and system workflows.
• Ability to document technical concepts clearly for governance purposes.