Automation index
How much of a Growth manager’s job can AI already do?
An A/B test and a funnel report come earlier. Picking this week’s bet and fighting for budget do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Growth manager
31%
AI can already do 31% of this job.
#35 / 623
View rankingGrowth manager
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 |
|---|---|---|---|
Analytics, funnels and growth dashboards.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 52% | +11.4 |
Copy, creatives and test variants.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Design experiments and read causality.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Align product, marketing and sales.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Ads budget and internal negotiation.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
Decide what dies and what scales.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Analytics, funnels and growth dashboards
- Copy, creatives and test variants
- Design experiments and read causality
- Align product, marketing and sales
- Ads budget and internal negotiation
- Decide what dies and what scales
- growth manager
- growth hacker
- responsable de growth
Sources for this job· O*NET 13-1161.00· ESCO/ISCO 2431
IS WORK OVER?
Data architect
28%
#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