Data Steward / Data Governance Specialist

Overview

This comprehensive course provides data stewards and governance specialists with the complete knowledge and tools needed to own data quality, classification, and lifecycle management for high-risk AI systems in full compliance with EU AI Act Article 10.

What You Will Learn

• Define and maintain a business glossary specifically for AI systems
• Establish and implement data quality criteria and procedures
• Handle data errors effectively and manage the full data lifecycle
• Support bias audits and provide required evidence for compliance

Who Should Take This Course

This course is designed for Data Stewards, Data Governance Specialists, Data Quality Managers, Compliance Officers, and professionals responsible for ensuring high-quality, traceable data for AI systems.

Course Format

AI Assurance E-Learning Platform - Self-paced online. Detailed.

Key Benefits

• Ability to establish robust AI data governance practices
• Practical skills for data quality management and lifecycle control
• Clear understanding of Article 10 obligations and expectations
• Confidence in supporting audits and regulatory requirements

Body of Knowledge - Mapped to Standards and Regulations

• AI Data Governance Framework (roles, responsibilities, glossary, EU AI Act Article 10, prEN 18286 Clause 8.2)
• Data Quality Criteria (statistical parity, completeness checks, prEN 18228 Clause 6)
• Data Lifecycle Management (error handling, lifecycle processes, lineage, COBIT APO14)
• Supporting Bias Audits (providing evidence for auditors, EU AI Act Article 10)

Key Takeaways

• Understanding of the Data Steward / Data Governance Specialist role and responsibilities
• Core knowledge and practical skills in AI data governance
• Clarity on risk and control responsibilities
• Awareness of key duties and performance indicators for the role

Certificate

Participants will receive a certificate of completion upon finishing the course.