Will AI replace data governance managers?
As AI becomes more prevalent, the need for humans to govern that data becomes critical. This role is highly resistant to automation because it involves creating the rules that the AI itself must follow.
Why AI struggles to replace this job
- AI cannot be its own judge and jury regarding the ethical use of data.
- Defining data ownership and accountability involves complex organizational politics.
- Creating policies for data privacy requires interpretation of ever-changing global laws.
- AI lacks the authority to enforce compliance across different corporate departments.
Tasks AI could automate
- Discovering and cataloging sensitive data across multiple cloud databases.
- Detecting potential data quality issues like duplicates or missing values.
- Monitoring for unauthorized access to restricted datasets.
- Automating the lineage tracking of how data moves through a system.
The 10-year outlook
This role will see explosive growth as companies struggle with AI ethics and data privacy regulations. Wages will likely rise as the technical and legal complexity of the job increases.
Common questions
Will AI replace data governance managers?
As AI becomes more prevalent, the need for humans to govern that data becomes critical. This role is highly resistant to automation because it involves creating the rules that the AI itself must follow.
What is the AI replacement risk for data governance managers?
Data Governance Manager scores 15/100 — This career is well shielded from AI replacement. Roughly 40% of the tasks in this role could be automated with current and near-future AI.
How much do data governance managers earn?
The US median salary for a data governance manager is about $105,000 per year, with projected employment growth of +15% over the next decade (much faster than average).