Domain Data Governance & Standards
Define, maintain, and enforce domain-level data policies, standards, business definitions, and quality thresholds.
Serve as the authoritative owner of data definitions, hierarchies, classifications, and attributes within the assigned domain.
Approve structural domain changes, including new attributes, hierarchies, and classifications.
Ensure consistency between business processes, data standards, and system configurations.
Data Ownership & Stewardship
Act as the single point of accountability for data quality, completeness, and correct usage
within the domain.
Resolve cross-functional conflicts related to data definitions, ownership, or data usage.
Facilitate governance decisions through stewardship forums and working groups.
Data Quality & Compliance
Define and govern domain-level data quality KPIs (accuracy, completeness, timeliness, consistency).
Monitor quality performance and drive remediation actions through Data Operations and Data Quality team.
Drive continuous improvement initiatives to remediate recurring data quality issues.
Ensure domain data complies with business requirements, reporting standards, audit expectations, and regulatory obligations.
Support audits by providing governance evidence, definitions, policies, and quality standards.
Master Data Maintenance
Design and maintain quality control frameworks to prevent invalid, duplicate, or inconsistent data.
Review and approve exceptions and changes as required.
Support data migration, transformation, or restructuring activities from a governance perspective.
Policies, SOPs & Knowledge Management
Create, maintain, and approve governance policies, SOPs, and business rules for the domain
Maintain governance documentation, business glossaries, and standard definitions
Promote consistent understanding and correct usage of data across the organization
Stakeholder Engagement & Advisory
Act as the domain governance authority for business, analytics, operations, and IT teams
Provide guidance on data implications for business initiatives, reporting, and transformations
Partner with Data Quality Specialists to define validation rules and integrity checks