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Home › Frameworks › Artificial Intelligence › National Occupational Standard Framework for Data & AI
| Type | Standard |
|---|---|
| Issuing authority | Saudi Data & AI Authority / National Data Management Office (SDAIA / NDMO) |
| Framework | Artificial Intelligence |
| Tier | Rules, controls & standards |
| Legal status | In force |
| Instrument number | SDAIA |
| Version | 2025 pilot edition |
| Dates | 2025 pilot edition. |
| Last verified | 2026-10-20 |
The National Occupational Standard Framework for Data & Artificial Intelligence (SDAIA, 2025 pilot edition) is the Kingdom's baseline reference for what data and AI professionals actually do. It aims to standardise and improve occupational practice and to anchor the human-capital side of Saudi Arabia's data and AI ambitions.
Its core is a classification of the field: data and AI occupations are organised into five classifications, ten specialty areas and sixteen occupations, each documented in a job card setting out the occupation's key tasks and the skills, knowledge and abilities required to perform them. The methodology chapters explain how the classification was built from expert analysis, and an annex completes the reference.
The framework is guidance rather than binding regulation. It is written for professionals, employers and decision-makers who recruit, develop or certify data and AI talent, and pairs with the Saudi Academic Framework for AI Qualifications, which addresses the education pipeline feeding these occupations.
Update: on 17 September 2026 SDAIA launched a Data and AI Academic Program Standards Framework (with the Education and Training Evaluation Commission) and a Data and AI Professional Standards Framework (with the Digital Sector Skills Council of the Ministry of Human Resources and Social Development). These may replace this edition.
Content and register data licensed CC BY 4.0. Cite the live URL. Machine-readable register (JSON) · Markdown register · Content last verified: 2026-10-21