As of May 01, 2026, the average salary for an SVP of Data Science in the United States is $389,805 per year, which breaks down to an hourly rate of $187.
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 | $194,318 |
| Data Science Director | 5+ years | $237,050 |
| VP of Data Science | 5+ years | $308,612 |
| SVP of Data Science | 5+ years | $389,805 |
| Chief Data Scientist | 5+ years | $453,530 |
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:
Demanded Skills for the Role:
| Skills | Demand Percentage |
|---|---|
| Analysis | 10.19% |
| Computer Science | 3.74% |
| Tableau | 1.64% |
| Skill | Salary | Salary % Increase |
|---|---|---|
|
Data Visualization
|
$534,033 |
37%
|
|
Big Data
|
$467,766 |
20%
|
|
Verbal Communication
|
$456,072 |
17%
|
|
Critical Thinking
|
$448,276 |
15%
|
|
Java
|
$444,378 |
14%
|
|
Products and Services
|
$444,378 |
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 May 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 $453,530 - a projected growth of 16% over your current level.
Salaries for an SVP of Data Science can change over time, reflecting shifts in market demand and the overall economy. The median salary decreased from $250,444 in 2023 to around $247,017 in 2025, reflecting changes in demand, location, experience, and the wider economy. For a detailed analysis of SVP of Data Science salary trends, .
| Year | Average Annual Salary |
|---|---|
| 2022 |
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|
| 2023 | $250,444 |
| 2024 | $250,974 |
| 2025 | $247,017 |
| 2026 |
View More
|
| 2027 |
View More
|
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An SVP of Data Science's earning potential can vary widely depending on several factors, including location, industry, experience, education, and the specific employer. According to the latest salary data by Salary.com, an SVP of Data Science earns the most in San Jose, CA, where the annual salary of an SVP of Data Science is $491,661.
The highest pay for SVP of Data Science is $462,352.
The lowest pay for SVP of Data Science is $344,298.
Establishes, plans, and administers the overall policies and goals of the data science function to support the organization's objectives. Provides strategic guidance, oversight, and direction for data science initiatives to ensure accuracy, timely delivery, and alignment with organizational goals. Allocates resources and evaluates and improves the tools, techniques, and methodologies utilized to extract and process data. Remains up-to-date on trends and developments in AI, machine learning, and data engineering. Typically requires a master's degree in computer science, mathematics, engineering. Typically reports to top management. Manages a business unit, division, or corporate function with major organizational impact. Establishes/implements overall direction and strategic initiatives for the given major function or line of business. Typically requires 10+ years of progressive leadership experience. Has extensive knowledge of the overall departmental function.
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We offer detailed salary information across multiple percentiles for your reference. (Click here to learn Why the Salary Midpoint Formula Is Crucial for Achieving Pay Equity.)
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