Data governance that supports delivery
Governance implemented as a permission queue gets worked around. Governance implemented as paved roads, defaults, and machine-readable policy gets used, because it is the easiest path.
The requirement this answers
“Establish enterprise data governance frameworks, policies and stewardship”
Encode policy so the platform enforces it, and reserve human judgment for ambiguity.
The measure that matters
A governance program can produce a council, a glossary, and a stewardship queue and still not change outcomes, because the queue grows faster than it clears and the system does not learn from what stewards decide.
The useful measure is not how many policies exist. It is whether a data engineer shipping something on a Tuesday encounters a guardrail automatically rather than having to remember one.
Policy as code
At KPMG I built an enterprise policy engine that integrated organizational policy, technical metadata, data quality, and privacy requirements into controls the platform enforced. Classification drives access. Retention drives lifecycle. Quality thresholds determine whether a build passes.
That program reduced compliance remediation cost by around 30%, and the mechanism was straightforward: fewer decisions left to memory.
Stewardship as adjudication
Stewards are most valuable setting policy, resolving ambiguous cases, and approving rules described in plain language, with the system learning from each decision so the same class of case does not return. This is a role elevation and needs to be presented and resourced as one.
How I apply it
- Define data quality dimensions, thresholds, and KPIs tied to business consequence
- Make classification, retention, and access machine-enforced at the platform layer
- Design steward workflows around active learning so queues reduce over time
- Publish a decision-rights matrix covering who decides, who is consulted, and who is informed
What good looks like
- Engineers can name the guardrails without looking them up
- Stewardship queue size trends downward
- Audit evidence is generated rather than assembled on request
- Delivery teams reference governance in design reviews without prompting