The responsibilities and rules for managing data quality, access and use.
Data governance establishes who is responsible for data and the standards that guide its handling. Work can include agreeing definitions, assigning owners, setting quality checks and deciding who may access particular information. Metadata describes the data, while lineage records where it came from and how it changed. These details help teams understand whether information is suitable for a decision or report. Governance sits within the broader practice of data management. Its distinctive contribution is accountability and consistent rules, which technical teams and business users then apply when collecting, transforming and using data.
In job listings
Burberry’s Senior Manager, Data Products and Governance role in London carried accountability for enterprise data governance through the Data Governance Manager. The posting described governance as centrally facilitated and business led, with ownership, quality, metadata, lineage, stewardship, privacy and classification embedded by design. It provides a specific example of shared business and technical responsibility. Search local jobs for “data governance”.
