AI exposure by occupation, O*NET 15-1243.01
Will AI replace Data Warehousing Specialists?
Data Warehousing Specialists: AI can already handle 9 of 18 tasks; the work mostly needs a frontier-tier model.
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Every task, scored
The 18 tasks O*NET 30.3 lists for Data Warehousing Specialists, from most to least exposed. 9 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Write new programs or modify existing programs to meet customer requirements, using current programming languages and technologies. | Observed | Frontier | |
| Perform system analysis, data analysis or programming, using a variety of computer languages and procedures. | Observed | Frontier | |
| Create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow. | Observed | Frontier | |
| Verify the structure, accuracy, or quality of warehouse data. | Estimated | Standard | |
| Map data between source systems, data warehouses, and data marts. | Estimated | Frontier | |
| Create or implement metadata processes and frameworks. | Estimated | Frontier | |
| Select methods, techniques, or criteria for data warehousing evaluative procedures. | Estimated | Frontier | |
| Prepare functional or technical documentation for data warehouses. | Estimated | Efficient | |
| Review designs, codes, test plans, or documentation to ensure quality. | Estimated | Standard | |
| Develop data warehouse process models, including sourcing, loading, transformation, and extraction. | Estimated | Frontier | |
| Develop and implement data extraction procedures from other systems, such as administration, billing, or claims. | Estimated | Frontier | |
| Design and implement warehouse database structures. | Estimated | Frontier | |
| Develop or maintain standards, such as organization, structure, or nomenclature, for the design of data warehouse elements, such as data architectures, models, tools, and databases. | Estimated | Frontier | |
| Design, implement, or operate comprehensive data warehouse systems to balance optimization of data access with batch loading and resource utilization factors, according to customer requirements. | Estimated | Frontier | |
| Create plans, test files, and scripts for data warehouse testing, ranging from unit to integration testing. | Estimated | Frontier | |
| Provide or coordinate troubleshooting support for data warehouses. | Observed | Standard | |
| Implement business rules via stored procedures, middleware, or other technologies. | Observed | Frontier | |
| Test software systems or applications for software enhancements or new products. | Observed | Standard |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 6 of 18 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 12 of 18. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
A frontier-tier model or lower covers 100% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 67,140
- Median annual wage
- $139,500
- Middle half of earners
- $109,370 to $169,290
- Projected change, 2024 to 2034
- +8.7%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034. BLS publishes these figures by SOC code, so O*NET occupations that share a SOC code show the same figures.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Database Architects 68% skill overlap, about 12 months to move Exposure53
- Data Scientists 65% skill overlap, about 13 months to move Exposure63
- Document Management Specialists 61% skill overlap, about 14 months to move Exposure67
- Database Administrators 59% skill overlap, about 15 months to move Exposure56
- Business Intelligence Analysts 58% skill overlap, about 15 months to move Exposure65
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Data Warehousing Specialists and AI
Will AI replace Data Warehousing Specialists?
AI already handles 9 of the 18 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 64 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +8.7% from 2024 to 2034.
What is the AI exposure of Data Warehousing Specialists?
64 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 6 of the 18 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 12 are estimated from each task's O*NET work activity.
Which Data Warehousing Specialists tasks can AI already do?
The tasks with the highest exposure are: Write new programs or modify existing programs to meet customer requirements, using current programming languages and technologies; Perform system analysis, data analysis or programming, using a variety of computer languages and procedures; Create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow. They are three of the 9 tasks that reach 60 or more.
What AI model tier does this role need?
A frontier-tier model or lower covers 100% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Data Warehousing Specialists, and what do they earn?
67,140 people in the United States, with a median annual wage of $139,500 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +8.7% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Data Warehousing Specialists. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/data-warehousing-specialists
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