Implement and execute data administration responsibilities
How implement and execute data administration responsibilities are reshaped as AGI capability advances.
The bottom line
Roughly 90% of the work in Implement and execute data administration responsibilities is information-shaped — already within reach of AI delivery. The question here is not whether it shifts, but which tasks go first and who staffs the residual.
Why: With no child occupations seeded, this scalar is based entirely on the composite's description and the PCF top-level category lens 'Manage information'. The focus is strictly on 'processes and technologies that support the collection, managing, and storing of data,' which represents pure IT and data architecture work. This is information-centric, remote-capable knowledge work, mapping to a high digital scalar.
grounded in the economy graph · digital scalar 0.90 · digital
Related articles
No articles yet for this entity.
Recent capability events
No capability events for this entity yet.
How the work flows
Trigger: A data governance strategy is approved or new organizational data requires structured collection and storage.
- Deploy data collection pipelines and integration tools
- Apply classification and metadata tags to incoming data
- Configure and maintain secure data storage repositories
- Execute data quality checks and cleansing routines
- Administer user access controls and permissions
- Perform regular data backups and retention archiving
Outcome: Data is securely collected, standardized, stored, and made readily accessible to authorized users in compliance with organizational policies.