Implementing data governance on AWS: Automation, tagging, and lifecycle strategy – Part 1

This post provides a strategic, automation-first guide to implementing scalable data governance on AWS, emphasizing NIST-aligned data classification, tag governance, organizational roles, and change management, along with KPIs such as tagging compliance, MTTR for compliance issues, automation-driven task reduction, and storage cost optimization. It inventories key AWS services for monitoring, enforcement, and data protection (e.g., Organizations, IAM, CloudTrail, Config, EventBridge, Lambda, Macie, KMS, CloudWatch, Athena, Systems Manager, and Service Catalog) and sets the foundation for a follow-up part focused on technical architecture and enforcement patterns.