The platform for data managers

A data manager oversees an organization’s data systems, ensuring that data is secure, accurate, governed, and readily available. Their responsibilities include developing data management policies, maintaining metadata repositories, enforcing data quality standards, ensuring regulatory compliance, managing data governance programs, and enabling data literacy across the organization. Data managers bridge the gap between technical teams and business stakeholders to build a data-driven culture.

Agile data governance is a flexible, iterative approach to managing data that emphasizes collaboration, continuous improvement, and bottom-up participation rather than top-down control. Unlike traditional governance models that create bottlenecks with lengthy approval cycles and siloed ownership, agile governance enables cross-functional teams to work together on data initiatives within a framework that ensures security, quality, and compliance. This approach allows organizations to adapt quickly to changing business needs while maintaining proper data controls.

Data managers enable data literacy by implementing user-friendly data catalogs and discovery tools, creating comprehensive business glossaries with common data definitions, providing training and documentation on data usage, automating data classification and tagging, establishing clear data ownership and stewardship roles, and democratizing data access through self-service platforms. These initiatives help data consumers quickly find, understand, and trust the data they need for analysis and decision-making.

Effective data management requires data intelligence platforms that automatically connect to multiple data sources, provide centralized metadata repositories, offer flexible metamodel configuration, enable data lineage visualization, support automated data classification and tagging, integrate knowledge graphs for discovering data relationships, facilitate collaboration through comments and annotations, and provide comprehensive search capabilities. These tools help data managers maintain accurate, up-to-date information about data assets across the enterprise.

Data managers lead data management teams and oversee data-oriented activities across the organization, focusing on strategy, governance frameworks, and enabling enterprise-wide data initiatives. Data stewards manage day-to-day data quality, implement governance policies, and serve as subject matter experts for specific data domains. Data owners define data content, validate accuracy, authorize access, and are accountable for specific data assets. While these roles collaborate closely, data managers provide strategic leadership, stewards handle operational execution, and owners maintain responsibility for data accuracy and usage within their domains.