Get started as a data steward
Understand your role as a data steward in Collibra
As a data steward, you ensure the quality, accuracy, and governance of data in Collibra. You act as a bridge between business and technical needs so data consumers can find trusted data. You manage data assets, resolve issues, and ensure compliance with organizational policies. You can also monitor data quality metrics and create rules to improve data reliability.
Depending on your organization, you can be referred to as a:
- AI Product Owner
- Business Intelligence (BI) Analyst
- Data Owner
- Data Product Lead
- Data Quality Steward
- Data Steward
- Community Manager
- Governance Manager
- ML Engineer
- Privacy Analyst
Essentials for data stewards
What you can do and which data you can access depends on the enabled products and your roles and permissions. This means your access can differ from your colleagues. As a data steward, your tasks can include:
- Customizing the homepage and dashboards to help data consumers find the data they need.
- Creating dashboards to follow up on data quality and governance metrics.
- Managing data assets, ensuring they are accurate, up to date, and contextualized.
- Reviewing and updating asset pages with relevant details, such as characteristics, responsibilities, and diagrams.
- Mapping business terms to physical data assets and establishing relationships between assets.
- Monitoring data quality metrics and creating rules to improve data reliability.
- Ensuring compliance with organizational policies and standards.
- Managing permissions for data access.
- Collaborating with colleagues using tools such as comments, ratings, tags, and workflows.
- Designing workflows for the organization together with admin.
- Identifying gaps and inconsistencies in data and addressing them.
- Resolving flagged issues and activating workflows to address data concerns.
- Configuring and managing specific products and features in the platform.
Helpful resources
- Tour the platform
- Learning paths on Collibra University:
Data Scientist
Data Scientists research and review data, make inferences about that data, and present conclusions in a business-friendly way that is actionable. They need to navigate the data, determine what data is useful, and create models that answer real-world questions.Data Owner
Data Owners are accountable for approving and championing the domain data strategy and ensuring domain data is governed as an asset. They are primarily focused on a single data set and tasks associated with that data set.Data Steward
Data Stewards manage their organization’s data, ensuring its quality, integrity, and usability. They are a bridge between business and technical needs, helping data citizens access trusted data for better decisions.
For information on the certification, go to Data Steward Certification.Data Quality Steward
Data Quality Stewards ensure data reliability by using automated profiling and machine learning to proactively monitor, prioritize, and remediate anomalies. As a bridge between technical systems and business needs, they enforce quality standards and maintain compliance with global privacy regulations.
For information on the certification, go to Data Quality Steward Certification.