Automation index
How much of a Data architect’s job can AI already do?
A lake diagram comes earlier. Data that can be used, and does not rot, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Data architect
28%
AI can already do 28% of this job.
#83 / 663
View rankingData architect
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Models, lineage and the catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Pipelines, quality and the data contract.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The analyst who finds nothing and the mess.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Privacy, retention and the field you cannot keep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The business, shadow IT and not building another lake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it gets used, and not letting raw data rot.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model data
- lineage
- data catalogue
- data contracts
- pipeline quality
- retention
- data lakes
- privacy
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511
IS WORK OVER?
Public health officer
22%
#413 / 663
View rankingPublic health officer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Surveillance, the indicator and the alert.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Outbreak, the questionnaire and the one who will not answer.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Field, the source and shutting the premises.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Report, the mayor and not softening the figure.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Vaccination, coverage and the rumour.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cut the outbreak, and not softening it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- epi surveillance
- outbreaks
- field questionnaires
- shut premises
- vaccine coverage
- public-health alerts
- mayors
- not soften figures
Sources for this job· O*NET 21-1091.00· ESCO/ISCO 2263