Data Management Executive Salary in the United States

How much does a Data Management Executive make in the United States?

As of July 01, 2026, the average salary for a Data Management Executive in the United States is $77,681 per year, which breaks down to an hourly rate of $37.

However, a Data Management Executive's salary can vary significantly. Here’s a look at the typical salary range:

  • Top Earners (90th percentile): $88,430
  • Majority Range (25th-75th percentile): $68,383 to $83,307
  • Entry-Level (10th percentile): $59,917
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View as table View as graph 25% $68,383 10% $59,917 90% $88,430 75% $83,307 $77,681 50%(Median) Didn’t find job title? Click

Data Management Executive Salaries by Percentile

Annual
Salary		 Monthly
Pay		 Weekly
Pay		 Hourly
Wage
75th Percentile $83,307 $6,942 $1,602 $40
Average $77,681 $6,473 $1,494 $37
25th Percentile $68,383 $5,699 $1,315 $33
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Key Factors That Influence Data Management Executive Salaries

A Data Management Executive'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, education and company size can directly affect your earning potential.

How Do Data Management Executive Salaries Vary from State to State?

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 Data Management Executives. For example, consider the average annual salaries in these key locations:

  • District of Columbia: $86,009.
  • California: $85,682.
  • Massachusetts: $84,540.

Top Paying Cities for Data Management Executives

Salaries can also vary between different cities. Major metropolitan areas or cities with a high demand for technicians often offer more competitive pay. Here are a few examples of average annual salaries in different U.S. cities:

  • San Jose: $97,979
  • San Francisco: $96,906
  • Oakland: $94,864

What Skills Can Increase a Data Management Executive's Salary?

Demanded Skills for the Role:

  • Troubleshooting (Mentioned in 9.19% Job Postings): Troubleshooting is a form of problem solving, often applied to repair failed products or processes on a machine or a system. It is a logical, systematic search for the source of a problem in order to solve it, and make the product or process operational again. Troubleshooting is needed to identify the symptoms. Determining the most likely cause is a process of elimination—eliminating potential causes of a problem. Finally, troubleshooting requires confirmation that the solution restores the product or process to its working state. In general, troubleshooting is the identification or diagnosis of "trouble" in the management flow of a system caused by a failure of some kind. The problem is initially described as symptoms of malfunction, and troubleshooting is the process of determining and remedying the causes of these symptoms. A system can be described in terms of its expected, desired or intended behavior (usually, for artificial systems, its purpose). Events or inputs to the system are expected to generate specific results or outputs. (For example, selecting the "print" option from various computer applications is intended to result in a hardcopy emerging from some specific device). Any unexpected or undesirable behavior is a symptom. Troubleshooting is the process of isolating the specific cause or causes of the symptom. Frequently the symptom is a failure of the product or process to produce any results. (Nothing was printed, for example). Corrective action can then be taken to prevent further failures of a similar kind.
  • Schematic (Mentioned in 4.77% Job Postings): A schematic, or schematic diagram, is a representation of the elements of a system using abstract, graphic symbols rather than realistic pictures.
  • Preventive Maintenance (Mentioned in 2.03% Job Postings): Preventive maintenance is the act of performing regularly scheduled maintenance activities to help prevent unexpected failures in the future. Put simply, it's about fixing things before they break.
See More Skills
Skills Demand Percentage
Troubleshooting 9.19%
Schematic 4.77%
Preventive Maintenance 2.03%
What skills can make your compensation higher?
Mastering certain specialized skills can lead to a significant increase in pay. Here are examples of skills and the potential impact they can have on a Data Management Executive's salary.
  • Verbal Communication: Can increase your salary by up to 21%.
  • Standard Operating Procedures: Can increase your salary by up to 13%.
  • Instrument Control: Can increase your salary by up to 10%.
Skill Salary Salary % Increase
Verbal Communication
 $93,994
21%
Standard Operating Procedures
 $87,780
13%
Instrument Control
 $85,449
10%
Security Clearance
 $84,672
9%
Leadership
 $84,672
9%
Scheduling
 $83,896
8%
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Data Management Executive Salary by Industry: Top Paying Sectors

For Data Management Executive roles, the industry you choose can affect earning potential by as much as 120% (the gap between the highest and lowest paying industries). Data shows that the Aerospace & Defense and Energy & Utilities sectors offer the strongest compensation, at 60% above the average. In contrast, Data Management Executive positions in Internet or Media typically offer lower base pay, as these industries often view Data Management Executive as a support function rather than a direct revenue driver.

The top paying industries for a Data Management Executive

Industry Sector Average Annual Salary Average Hourly Rate Pay vs.Avg
Aerospace & Defense$124,290$60.060%
Energy & Utilities$116,522$56.050%
Biotechnology$108,754$52.040%
Business Services$100,985$49.030%
Insurance$97,101$47.025%

How Education impacts a Data Management Executive's Salary?

Your level of education can impact your salary potential. While many Data Management Executives enter the field with a High School Diploma or Technical Certificate degree, higher education can lead to more specialized and higher-paying roles.

According to our 100% employer-reported salary data, the median salary for a Data Management Executive with a High School Diploma or Technical Certificate is between $77,011 and $83,565).

Data Management Executive Salaries by Degree Level

Typical Education for Data Management Executive
Degree Level % of user with this level of education
No Diploma 37.5%
High School 37.5%
Associates 50.0%
Bachelors 12.5%
Masters 0.0%
Doctorate 0.0%
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Data Management Executive Salary: Hourly Rate, Weekly Pay, and Monthly Pay

Understanding how a Data Management Executive'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.

  • Hourly
  • Monthly
  • Weekly
  • Yearly
  • Table View
Last Updated on July 01, 2026
$68,383
Average $77,681/year
$83,307
$5,699
Average $6,473/month
$6,942
$1,315
Average $1,494/week
$1,602
$33
Average $37/hour
$40
Annual Salary Monthly Pay Weekly Pay Hourly Wage
75th Percentile $83,307 $6,942 $1,602 $40
Average $77,681 $6,473 $1,494 $37
25th Percentile $68,383 $5,699 $1,315 $33

Salaries of jobs related to Data Management Executive

Salary Trends for Data Management Executive

Salaries for a Data Management Executive can change over time, reflecting shifts in market demand and the overall economy. The median salary decreased from $64,275 in 2023 to around $64,265 in 2025, reflecting changes in demand, location, experience, and the wider economy. For a detailed analysis of Data Management Executive salary trends, .

Average Annual Salary of Data Management Executive Over Time

2022
$???
2023
$64,275
2024
$64,572
2025
$64,265
2026
$???
2027
$???
Year Average Annual Salary
2022
View More
2023 $64,275
2024 $64,572
2025 $64,265
2026
View More
2027
View More

Most common benefits for Data Management Executive

Social Security
401(k)
Disability
Healthcare
Pension
Time Off (days)
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Where Does Our Salary Data Come From?

Salary.com provides salary estimates, histograms, trends, and comparisons using data from employer job postings and third-party sources.

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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