Chief Audit Executive Salary in Linville, NC

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What is the salary range of a Chief Audit Executive?

As of August 01, 2025, the average annual salary for a Chief Audit Executive in Linville, NC ranges from $225,578 (25th percentile) to $286,425 (75th percentile), with a median annual salary of $254,489 and an hourly rate of $122. A Chief Audit Executive's salary is shaped by several key factors, including experience level, specific skills, industry differences, company size, and more. Below, we'll explore how each of these influences compensation.

View as table View as graph 25% $225,578 10% $199,256 90% $315,500 75% $286,425 $254,489 50%(Median) Didn’t find job title? Click

Chief Audit Executive Salaries by Percentile

Annual
Salary
Monthly
Pay
Weekly
Pay
Hourly
Wage
75th Percentile $286,425 $23,869 $5,508 $138
Average $254,489 $21,207 $4,894 $122
25th Percentile $225,578 $18,798 $4,338 $108
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Chief Executive Officer (CEO)

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How much does a Chief Audit Executive make by hour, week, month, and year?

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Last Updated on August 01, 2025

How does experience level affect a Chief Audit Executive's Salary?

An entry-level Chief Audit Executive with under 1 year experience makes about $234,287. With less than 2 years of experience, a mid-level Chief Audit Executive makes around $236,900. After 2-4 years, the Chief Audit Executive pay rises to about $240,384. Those senior Chief Audit Executive with 5-8 years of experience earn roughly $245,609, and those Chief Audit Executive having 8 years or more experience are expected to earn about $252,141 on average.

Levels Salary
Entry Level Chief Audit Executive $234,287
Intermediate Level Chief Audit Executive $236,900
Senior Level Chief Audit Executive $240,384
Specialist Level Chief Audit Executive $245,609
Expert Level Chief Audit Executive $252,141
$234,287 0 yr
$236,900 < 2 yrs
$240,384 2-4 yrs
$245,609 5-8 yrs
$252,141 > 8 yrs
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Best-Paid Skills and Qualifications for Chief Audit Executive

What skills does a Chief Audit Executive need?

Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.

  1. Risk Management: Risk management is the identification, evaluation, and prioritization of risks (defined in ISO 31000 as the effect of uncertainty on objectives) followed by coordinated and economical application of resources to minimize, monitor, and control the probability or impact of unfortunate events or to maximize the realization of opportunities. Risks can come from various sources including uncertainty in financial markets, threats from project failures (at any phase in design, development, production, or sustainment life-cycles), legal liabilities, credit risk, accidents, natural causes and disasters, deliberate attack from an adversary, or events of uncertain or unpredictable root-cause. There are two types of events i.e. negative events can be classified as risks while positive events are classified as opportunities. Several risk management standards have been developed including the Project Management Institute, the National Institute of Standards and Technology, actuarial societies, and ISO standards. Methods, definitions and goals vary widely according to whether the risk management method is in the context of project management, security, engineering, industrial processes, financial portfolios, actuarial assessments, or public health and safety.
  2. Market Risk: Market risk is the possibility that an individual or other entity will experience losses due to factors that affect the overall performance of investments in the financial markets.
  3. Data Analytics: Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data while CDA focuses on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All of the above are varieties of data analysis.
See More Skills
Skills Demand Percentage
Risk Management 6.54%
Market Risk 2.67%
Data Analytics 1.27%
What skills can make your compensation higher?
Mastering certain skills can make the compensation of a Chief Audit Executive higher. Salary.com's Real-time Job Posting Salary Data provides you the latest highly compensated skills to help you get a higher pay. For example, if you master Agile, you can get a 17% salary raise. If you are good at Consulting Services, your salary will increase by 12%. If you are expert in Capital Management, your salary will rise by 12%.
Skill Salary Salary % Increase
Agile
$297,752
17%
Consulting Services
$285,028
12%
Capital Management
$285,028
12%
Financial Analysis
$282,483
11%
Data Analysis
$279,938
10%
Adaptability
$274,848
8%

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Cost of Living In Linville, NC

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