UX Designer 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.
UX Designer
Design intuitive user experiences through research and prototyping.
Data Governance Analyst
Establish and enforce policies for data quality, privacy, and compliance.
UX Designer earns more on average โ the national median is $15,060/year (17%) higher than a Data Governance Analyst. However, salaries vary significantly by city, employer, and experience level โ see the city-by-city breakdown below.
UX Designer vs Data Governance Analyst โ Salary by City
National median figures in USD across top cities.
| City | UX Designer | Data Governance Analyst | Difference |
|---|---|---|---|
| San Francisco, CA | $151,252 | $127,235 | UX +$24,017 |
| New York, NY | $122,423 | $104,917 | UX +$17,506 |
| Seattle, WA | $150,553 | $102,930 | UX +$47,623 |
| Austin, TX | $117,269 | $96,439 | UX +$20,830 |
| Chicago, IL | $112,927 | $96,264 | UX +$16,663 |
| Boston, MA | $131,883 | $114,991 | UX +$16,892 |
| London, UK | ยฃ82,676 | ยฃ67,745 | UX +$14,931 |
| Toronto, Canada | CA$137,578 | CA$119,721 | UX +$17,857 |
Frequently Asked Questions
Does a UX Designer or Data Governance Analyst earn more?+
A UX Designer earns more on average. The national median salary for a UX Designer is $104,000/year, compared to $88,940/year for a Data Governance Analyst โ a difference of $15,060 (17%).
Which has better career growth โ UX Designer or Data Governance Analyst?+
UX Designer roles are growing at 20% YoY while Data Governance Analyst demand is growing at 28% YoY. Data Governance Analyst has stronger near-term demand growth.
Can you switch from UX Designer 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 โ UX Designer or Data Governance Analyst?+
UX Designer has a lower AI automation risk (38% vs 50%). Based on Oxford Martin School and McKinsey 2023 analysis.