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 / 723
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?
Fire investigator
22%
#412 / 723
View rankingFire investigator
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 |
|---|---|---|---|
Scene, the origin and not treading it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Cause, the short and the rag.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Sample, the lab and the one that does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Report, the insurer and not selling it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The judge, the hearing and not jumping to a yes.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Call the cause, and not selling it to the insurer.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
- fire origin
- shorts
- rags
- samples
- expert reports
- insurers
- the scene
- not tread
Sources for this job· O*NET 33-2021.00· ESCO/ISCO 3119