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The Data Steward is responsible for ensuring the quality, integrity, governance, and usability of data across the organisation. This role acts as the bridge between business users and technical teams, establishing standards, improving data documentation, and ensuring data is managed consistently throughout its lifecycle. The Data Steward plays a critical role in enabling trusted data for reporting, analytics, and decision-making.
Job Responsibility
Define, implement, and enforce data governance frameworks and best practices
Establish data standards, naming conventions, and modelling principles
Ensure consistent use of data definitions across reports and systems
Support the creation and maintenance of data policies and procedures
Monitor and improve data quality (accuracy, completeness, consistency, timeliness)
Identify data issues and root causes, working with technical teams to resolve them
Define and track data quality metrics and KPIs
Implement controls to prevent recurring data issues
Own and maintain data dictionaries, glossaries, and lineage documentation
Document data models, transformations, and business rules
Improve visibility of data flows across systems
Ensure documentation is accessible, up to date, and standardised
Work with business stakeholders to define data ownership and accountability
Act as the point of contact for data-related queries within assigned domains
Ensure clear ownership of dashboards, datasets, and automated solutions
Support standardised development and release processes
Ensure proper version control, archiving, and lifecycle management of reports and solutions
Help manage workspace hygiene and governance
Act as a liaison between business users, analysts, and engineering teams
Translate business requirements into clear data definitions and structures
Promote data literacy and best practices across the organisation
Ensure compliance with data protection regulations
Support data audits and governance reviews
Identify and mitigate risks related to poor data management
Requirements
Strong understanding of data governance principles and data lifecycle management
Experience with data warehousing and reporting environments
Familiarity with tools such as Power BI, Power Platform, SQL, and data modelling concepts
Ability to create clear documentation and data dictionaries
Strong analytical and problem-solving skills
Excellent stakeholder engagement and communication skills
Nice to have
Experience with data lineage tools or cataloguing platforms
Knowledge of Master Data Management (MDM) concepts
Exposure to Direct Query / Import modelling trade-offs
Understanding of performance optimisation in reporting tools
Experience working in regulated or large enterprise environments