DataTerminology.comNEW
A role responsible for ensuring data assets adhere to defined policies, standards, and quality expectations throughout their lifecycle.
DESCRIPTION
Data stewards operationalize governance by monitoring quality, managing metadata, and enforcing standards. They collaborate with owners, engineers, and analysts to align definitions and resolve issues. Stewards curate catalogs and document business context. They prioritize data quality, ensure compliance, and maintain glossaries. In federated models, each domain appoints stewards for local accountability. Effective stewardship builds trust and accelerates data use.
ALTERNATIVE DEFINITIONS
Wikipedia
A data steward is a role within an organization responsible for ensuring the quality and fitness of data assets and the consistent use of data standards and policies.
Emphasizes quality and policy adherence within organizations.
IBM
Data stewardship is the set of practices and roles that ensure an organization’s data is accurate, accessible, consistent, and protected throughout its lifecycle.
Frames stewardship as practices and roles focused on lifecycle quality and protection.
RELATED TERMS
Governance Data Quality Metadata Management Data Discovery Platform Data Policy Lineage Stewardship Council Master Data Management
COMPETING TERMS
Data Owner
RELATIONS
- Narrower: Business Data Steward
KNOWLEDGE AREAS
Data Governance Data Management Metadata Management Data Quality
TARGET AUDIENCE
Data Steward Data Governance Manager Chief Data Officer Data Management Consultant Information Analyst
EXTERNAL SOURCES
- Wikipedia - Data steward
- Microsoft - Governance roles and responsibilities
- DATAVERSITY - Stewardship responsibilities explained
TOP QUESTIONS
What does a Data Steward do day-to-day?
They curate metadata, monitor data quality, manage issues, and coordinate definitions. They work with owners, engineers, and analysts to align usage.
Category: Responsibilities
How does a Data Steward differ from a Data Owner?
Owners are accountable for outcomes and decisions; stewards ensure standards and quality are implemented. The roles are complementary, not redundant.
Category: Comparison
How is Data Stewardship measured?
Use data quality KPIs, issue resolution time, catalog coverage, and policy compliance rates to measure effectiveness.
Category: Measurement
What skills are needed for a Data Steward?
Strong communication, domain knowledge, metadata tools, and quality techniques. Understanding privacy and compliance is increasingly important.
Category: Requirements
Where should Data Stewards sit in an organization?
Often embedded in domains with a virtual community of practice. Central governance provides standards and tooling.
Category: Organization
What is a common mistake in Data Stewardship?
Assigning the title without allocating time, authority, or tools. Stewardship requires explicit capacity and support.
Category: Mistakes
How do stewards support Data Democratization?
They ensure discoverability and consistent definitions, enabling safe self-service while maintaining quality and compliance.
Category: Relation
Which tools help Data Stewards?
Data catalogs, lineage systems, quality monitoring, and glossary management. Workflow tools track issues and approvals.
Category: Tools
How do stewards handle regulatory change?
They translate new requirements into policies and data standards, coordinate remediation, and update documentation and controls.
Category: Compliance