Data steward
Aussi : Data steward, Data stewardship, Domain data owner, Intendant des donnees, Responsable des donnees
A business-side owner responsible for the quality, consistency and appropriate use of data in their domain.
What it is
A data steward is a business-side role accountable for the health of a specific set of data within their domain (for example customer data, product data, or financial data). Unlike a data engineer or a database administrator, who own the technical plumbing, the data steward owns the meaning, quality, and correct use of the data. They are the person who can answer "what does this field actually mean?" and "is this number safe to use for that decision?"
Stewardship is usually a federated role: each domain has its own steward embedded in the business, rather than one central team owning everything. Stewards operate under the umbrella of a broader data governance program, often coordinated by a Chief Data Officer.
Why it matters
Data only creates value when people trust it and use it consistently. Without stewards you get:
- Conflicting definitions (three teams each compute "active customer" differently)
- Silent quality decay (duplicate records, stale values, missing fields)
- Compliance and privacy risk (data reused for purposes it was never meant for)
- Slow decisions (nobody knows which source is authoritative)
Stewards close this gap by acting as the accountable human between raw data and business use.
How it is used in practice
A data steward typically:
- Maintains definitions and business rules in a data catalog or glossary
- Sets and monitors quality thresholds (completeness, accuracy, freshness)
- Approves or restricts access and use in line with policy and regulation
- Triages data issues raised by consumers and drives fixes to the source
- Certifies authoritative datasets so downstream teams stop rebuilding them
Concrete worked example
A retail company launches a churn model. The marketing team, the finance team, and the AI team each have a different notion of "churned customer." The customer data steward convenes them, agrees a single definition (no purchase in 180 days), documents it in the catalog, and marks the certified customer table as the source of truth.
- The CMO now targets the right segment.
- The CFO reports revenue at risk on the same basis.
- The AI team trains on a labeled, documented, consented dataset.
One role, one shared definition, and three teams that finally agree.