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 / 623
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?
Job insertion technician
24%
#282 / 623
View rankingJob insertion technician
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 |
|---|---|---|---|
Employer prospecting and the agreements.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Go with them to the job and the first day.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Follow-up, incidents and the one who quits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Reports, indicators and justifying the grant.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The hard candidate and the employer who pulls out.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That they stay, and not dressing the figure.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- prospect employers
- place candidates
- follow up in post
- insertion agreements
- justify grants
- job accompaniment
- workplace incidents
- insertion indicators
Sources for this job· O*NET 21-1093.00· ESCO/ISCO 2423