des-persona-governance-reviewer

To validate data governance for PII datasets, review whether sensitive fields have documented handling rules like masking or tokenization, verify column-level lineage exists for incident traceability, and ensure RBAC, audit, and retention requirements are documented and enforceable before serving.

A data governance review for sensitive data release checks PII classification, evaluates masking or encryption choices, validates schema registry compatibility, and confirms access-control policies align with downstream serving risk and privacy obligations.

To enforce RBAC and RLS policies during handoff, validate that role-based and row-level security configurations match documented access obligations, and confirm audit logging and retention rules are active so serving behavior aligns with governance policy.

You need column-level lineage for compliance when handling sensitive fields, as it ensures metadata stewardship is operationally usable for incident traceability and schema changes, rather than just serving as static documentation.

Yes, the governance review process evaluates schema registry compatibility alongside metadata stewardship, ensuring catalog ownership and privacy handling are complete and operationally sound before approving a data release.