How to create a Data Stewardship Workflow in Data Governance

João Barros 20 de October de 2026 4 min read

This tutorial explains how to create a Data Stewardship Workflow in Data Governance to manage responsibilities, approvals and metadata changes. A clear workflow reduces conflicts between teams, improves data quality and makes decisions auditable.

Prerequisites

Account with administrative privileges in Microsoft Purview or a similar cataloging system.
Initial list of assets/data domains and at least one Data Steward identified.
Basic familiarity with governance policies and email communications (for notifications).

Step 1: Define roles and responsibilities

Start by creating a simple document that describes roles: Data Owner, Data Steward, Data Custodian and Consumer. Define concrete tasks (e.g.: approve classification, assess schema changes, validate quality rules). This prevents ambiguities when the workflow goes into effect.

# Exemplo mínimo de responsabilidades (formato CSV para importação manual)
asset_id,asset_name,data_domain,data_owner,data_steward
001,customers,CRM,owner@empresa.com,steward.crm@empresa.com
002,orders,Finance,owner@empresa.com,steward.finance@empresa.com

Step 2: Map workflow triggers

Define which events trigger the workflow: creation/change of metadata, Data Quality results outside threshold, access requests or sensitivity changes. Each trigger should lead to an action (notify, request approval, run script).

# Exemplo de triggers (documento interno)
trigger: metadata-change
conditions: schema-change OR classification-change
actions: notify steward -> steward approves -> update catalog -> audit log

Step 3: Model workflow states

Create a simple model of states (Draft, Under Review, Approved, Rejected, Implemented). For each state, define who can move to the next state and what evidence is required (comments, test proofs, benchmarks).

# Exemplo de estados (para implementação no sistema)
states:
  - Draft
  - Under Review
  - Approved
  - Rejected
  - Implemented
transitions:
  Draft -> Under Review: initiated_by: Steward
  Under Review -> Approved: initiated_by: Owner
  Under Review -> Rejected: initiated_by: Owner
  Approved -> Implemented: initiated_by: Custodian

Step 4: Implement notifications and approvals

Configure the system (e.g. Microsoft Purview, Azure Logic Apps, Power Automate) to send notifications when the workflow is initiated. The notification should contain context, a link to the asset and approval/reject buttons with comments.

# Exemplo simplificado em pseudocódigo para Power Automate
When metadata_change_event occurs:
  Get asset details
  Send approval request to data_owner and data_steward
  If approved:
    Update asset state to Approved
    Log audit entry
  Else:
    Update asset state to Rejected
    Notify requester

Step 5: Record evidence and audit

Ensure that each transition records an auditable entry: who, when, comment and attached files. Use the catalog change tracking (e.g.: Purview scan logs) or write logs to an immutable repository (e.g.: Azure Storage with soft-delete and versioning).

# Exemplo mínimo de registo (append-only log CSV)
timestamp,asset_id,from_state,to_state,user,comment
2026-10-20T09:15:00Z,001,Under Review,Approved,owner@empresa.com,"Validação OK"

Step 6: Automate pre-approval checks

Before requests go for human approval, run automated checks: Data Quality rules, schema validation and sensitive classification detection. This reduces manual effort and speeds up decisions.

# Pseudocódigo de pré-validação
run_quality_checks(asset_id):
  results = execute_checks(asset_id)
  if results.failures > 0:
    attach report
    set state = Draft
    notify steward
  else:
    set state = Under Review
    trigger approval

Verify the outcome

To confirm the Data Stewardship Workflow works: create a test metadata change and verify that notifications are sent, that approvals change the state and that the audit log records all transitions. Simulate rejections and quality failures to validate alternative paths.

Conclusion

By implementing a simple Data Stewardship Workflow you will have faster decisions, clear responsibilities and traceability of changes. Next steps: integrate approval time metrics and compliance dashboards. Tip: start with a few critical assets and iterate based on team feedback.