As of July 01, 2026, the average salary for an SVP of Data Science in New Mexico is $361,331 per year, which breaks down to an hourly rate of $174.
However, an SVP of Data Science's salary can vary significantly. Here’s a look at the typical salary range:
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An SVP of Data Science's salary isn't a fixed number. It's shaped by several important factors. Below, we'll explore how your years of experience, geographic location, and company size can directly affect your earning potential.
Experience is a primary driver of an SVP of Data Science's salary. As you build your skills and take on more complex tasks, your compensation generally increases. Here's how the average salary grows at different career stages:
| Job Role | Years of Experience | Average Salary |
|---|---|---|
| Data Science Senior Manager | 5+ years | $179,977 |
| Data Science Director | 5+ years | $219,615 |
| VP of Data Science | 5+ years | $285,975 |
| SVP of Data Science | 5+ years | $361,331 |
| Chief Data Scientist | 5+ years | $420,433 |
What Am I Worth?
Your salary can change significantly depending on where you work. States with a higher cost of living and strong industrial sectors often pay more to attract SVP of Data Sciences. For example, consider the average annual salaries in these key locations:
SVP of Data Science salary potential scales significantly with company size. Data shows that Enterprise companies (5,000+ employees) pay the highest average salary at around $404,146. While startup companies pay approximate $341,787.
| Company Size | Employees | Average Salary |
|---|---|---|
| Startup | 1~50 | $341,787 |
| Growth Stage | 51~500 | $361,493 |
| Established | 501~5000 | $390,280 |
| Enterprise | 5000+ | $404,146 |
For SVP of Data Science roles, the industry you choose can affect earning potential by as much as 60% (the gap between the highest and lowest paying industries). Data shows that the Pharmaceuticals and Software & Networking sectors offer the strongest compensation, at 34% above the average. In contrast, SVP of Data Science positions in Hospitality & Leisure or Retail & Wholesale typically offer lower base pay, as these industries often view SVP of Data Science as a support function rather than a direct revenue driver.
| Industry Sector | Average Annual Salary | Average Hourly Rate | Pay vs.Avg |
|---|---|---|---|
| Pharmaceuticals | $484,184 | $233.0 | 34% |
| Software & Networking | $484,184 | $233.0 | 34% |
| Financial Services | $448,050 | $215.0 | 24% |
| Internet | $429,984 | $207.0 | 19% |
| Biotechnology | $411,917 | $198.0 | 14% |
Understanding how an SVP of Data Science's annual salary breaks down can help with budgeting. Below, you can see the average hourly rate, weekly pay, and monthly pay for this role. Use the buttons to switch between different pay periods.
Last Updated on July 01, 2026For an SVP of Data Science, the most direct path to higher earnings is advancing to the Chief Data Scientist role. This promotion typically comes with a significant pay increase, bringing the average annual salary to $420,433 - a projected growth of 16% over your current level.
Ready to take the next step in your career? Browse thousands of current SVP of Data Science job openings on our job board. Use the search bar below to find your perfect match.
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