AI Engineer vs Data Governance Analyst: Which Pays More?
Side-by-side salary comparison by city, experience level, and career growth outlook. Data reflects current market rates.
AI Engineer
Build AI-powered products and integrate LLMs into applications.
Data Governance Analyst
Establish and enforce policies for data quality, privacy, and compliance.
AI Engineer earns more on average — the national median is $31,290/year (35%) higher than a Data Governance Analyst. However, salaries vary significantly by city, employer, and experience level — see the city-by-city breakdown below.
AI Engineer vs Data Governance Analyst — Salary by City
National median figures in USD across top cities.
| City | AI Engineer | Data Governance Analyst | Difference |
|---|---|---|---|
| San Francisco, CA | $173,327 | $127,235 | AI +$46,092 |
| New York, NY | $135,980 | $104,917 | AI +$31,063 |
| Seattle, WA | $173,703 | $102,930 | AI +$70,773 |
| Austin, TX | $137,883 | $96,439 | AI +$41,444 |
| Chicago, IL | $129,960 | $96,264 | AI +$33,696 |
| Boston, MA | $159,072 | $114,991 | AI +$44,081 |
| London, UK | £78,216 | £67,745 | AI +$10,471 |
| Toronto, Canada | CA$134,265 | CA$119,721 | AI +$14,544 |
Frequently Asked Questions
Does a AI Engineer or Data Governance Analyst earn more?+
A AI Engineer earns more on average. The national median salary for a AI Engineer is $120,230/year, compared to $88,940/year for a Data Governance Analyst — a difference of $31,290 (35%).
Which has better career growth — AI Engineer or Data Governance Analyst?+
AI Engineer roles are growing at 55% YoY while Data Governance Analyst demand is growing at 28% YoY. AI Engineer has stronger near-term demand growth.
Can you switch from AI Engineer to Data Governance Analyst?+
Yes. Many professionals transition between these roles, especially since both are in the same category. Shared skills include: analytical thinking, communication, and industry knowledge.
Which is harder to automate — AI Engineer or Data Governance Analyst?+
AI Engineer has a lower AI automation risk (18% vs 50%). Based on Oxford Martin School and McKinsey 2023 analysis.