Data & AI Governance Executive

• Data & AI Governance Framework and Policy Management
  Maintain governance documents, policies, standards, procedures, inventories, approval records, and meeting actions.
• Data and AI Inventory Management
  Maintain inventories of critical data, datasets, reports, AI models, AI use cases, data owners, and system owners.
• Data and AI Risk Management
  Support risk assessments, record identified risks, maintain action plans, and follow up with assigned owners.
• Data Quality and Lifecycle Governance
  Monitor data-quality issues, ownership, classification, retention, access, lineage, and issue-remediation status.
• Responsible AI and Model Governance
  Collect AI assessment information and maintain evidence relating to intended use, data sources, testing, approval, and monitoring.
• Compliance and Control Monitoring
  Collect evidence, perform control checks, document gaps, and track corrective actions against policies and applicable requirements.
• Issue, Incident and Exception Management
  Maintain records of data incidents, AI incidents, policy exceptions, findings, owners, due dates, and closure evidence.
• Reporting and Continuous Improvement
  Prepare operational dashboards and reports covering inventory, assessments, issues, incidents, exceptions, and overdue actions.

Qualifications

• Bachelor’s degree in Information Technology, Computer Science, Data Analytics, Business Information Systems, Risk Management, or a related field.
• 2–4 years of experience in data governance, IT governance, risk management, compliance, internal control, data management, or a related field.
• Basic understanding of data governance principles, data quality, data classification, data privacy, and data lifecycle management.
• Familiarity with AI governance, Responsible AI, or AI risk management is an advantage.
• Experience in maintaining governance documentation, tracking issues and corrective actions, coordinating assessments, and preparing management reports.
• Good analytical, organizational, and documentation skills, with strong attention to detail.
• Proficient in Microsoft Excel and PowerPoint; experience with Power BI or other reporting tools is an advantage.
• Good communication and coordination skills, with the ability to work effectively with cross-functional stakeholders.