Yes, you saw that correctly. An analysis of your compensation while doing a self-audit, at least an overview in the manner typically done in a desk audit by the Office of Federal Contract Compliance Programs (OFCCP), can be relatively simple. That’s not because the agency lacks the skills to conduct complex compensation analyses, but because the sheer number of audits the agency investigates every year makes running complex compensation or regression analyses impractical with every desk audit.
While it is imperative to ensure a company’s pay is in all respects nondiscriminatory, surviving an audit, as anyone who has been through this process can tell you, often takes one additional, preliminary step. That is to approach your self-analysis in the same manner as an OFCCP compliance officer. This step is critical, but is not at all difficult. This allows you to see exactly what the compliance officer is likely to see, take any corrective action ahead of time and present the information in the light most favorable to your company.
Why is this important, when your analysis will ultimately show that your company is paying its employees fairly? Because it helps avoid getting to a point where you are trying to explain anything to the OFCCP. It is always better to be on offense than on defense. Everyone knows that the most successful teams get to know and understand their opponents in an effort to predict their behavior and win the game. While it is no game, common sense suggests that the same practice will add to the likelihood of success in an audit.
Assuming everything will be fine because one is confident that one’s company is not discriminating is a mistake seen over and over again, and often taken advantage of by the OFCCP. By the time a contractor gets to that defensive position, the agency is invested in the audit with time and resources, and they are much less likely to let go of the matter.
Therefore, it is critical to think about all analyses from an OFCCP compliance officer’s perspective, even before the audit begins. When doing this, there are a few important items to consider. The auditor may know much, but more likely, knows very little about your company, and even less about your compensation system. Auditors investigate a wide variety of industries, such as manufacturing, engineering, technology, finance and transportation – just to name a few.
It can be challenging just to understand how pay systems work among entry level personnel such as an IT help desk position or call center representative. Understanding complex, higher level positions such as senior mechanical engineers, certified project managers or commission-only sales personnel is often very troublesome for the agency, even among experienced personnel, especially since pay systems vary so much from company to company.
Not only do compliance officers conducting routine desk audits often know little about your particular company or your particular pay structure unless you tell them, they also typically are not specialized in compensation analysis. Remember, they are investigating a wide variety of industries for compliance with a number of laws and regulations in addition to compensation, so it makes becoming an expert in one area less likely for any generalist.
Further, the data the OFCCP has in response to the scheduling letter is very limited. It includes not much more than annualized or actual pay data, gender, race/ethnicity, hire date, job title, EEO-1 category and job group. Therefore, take the opportunity to self-audit and present your data in the light most favorable to your company. Show the OFCCP what you want them to see and give them what they need to close your audit.
In order to sort through the thousands of audits the agency does every year, the OFCCP needs to have some sort of systematic or practical approach, even though the companies under audit are so vastly different. They need to start somewhere with pay and it is typically with an overview. While there is, of course, no way to predict exactly what a compliance officer will do in every case, human nature is to take the path of least resistance, and this is no different for a government employee. So run the same test when looking at an overview of your compensation in a self-audit that a compliance officer often will run in a desk audit. This simple method is how the OFCCP might find a difference in pay at first glance. The OFCCP defines what a difference is in its FAQs:
OFCCP may investigate any observed differences in pay, other earnings or benefits, job assignment/placement, training/advancement opportunities, differences in opportunities to increase compensation, or other unexplained differences. In situations where there are sufficient data to use regression analysis, a measurable difference generally means a statistically significant difference of two standard deviations or more, consistent with Title VII. When analyzing whether there are discriminatory compensation disparities among small groups or individuals, OFCCP will determine whether there is a measurable difference plus sufficient evidence that the difference is due to discrimination, according to Title VII law. Statistical evidence is not required in all compensation cases; other evidence may be used to evaluate potential discrimination in pay.
So let us get through the steps on how to analyze and then present your compensation from a practical perspective, while bearing in mind the agency’s definition of what constitutes an actionable “measurable difference plus sufficient evidence.” Using the data that the compliance officer will have, start comparing the average salaries between appropriate pay groupings based on race, ethnicity and gender (we will discuss appropriate pay groupings in just a bit). When you do this, you can see who is being paid above and below the average in each group by a difference of either 2% or $2,000, an often-used “measurable difference” by the agency in desk audits. You can then begin your research to understand why that employee or those employees might be paid more or less than the average. Here is an example. If you are looking at all of your professionals by gender, you would add up the salaries for the males in this job group and divide by the number of male employees in this job group, and then do the same separately for the females. Is there a difference that fails the OFCCP standard (2% or $2,000)? With professionals, probably so.
There are several things to think about at this point. What are the likely groupings the agency will use? Should they consider all of your professionals together? Right now, all the OFCCP has to develop pay groupings are job titles, job groups and EEO-1 categories. No matter what, when using such a small difference as a comparator, there will likely be differences of 2% or $2,000 somewhere in your workforce. The first question to ask when looking at an indicator is whether the comparative groups should be analyzed together in the first place. If no, then why not? How can you better present this data to the agency so that these employees are not grouped together? You might relook at your job groupings or job titles. Also, look at the patterns in your data. If, no matter the job, one group is always making 2% or $2,000 more, then there may be an issue with pay that needs to be remedied, regardless of how the employees are grouped. However, if there is only an issue when the employees are grouped a particular way, then find a reason to support why these employees should not be compared against each other. That is, there is likely a nondiscriminatory reason for the difference in compensation.
The second question to ask, if the groupings are appropriate, has two parts. What is the nondiscriminatory reason for the impact within that group and will the OFCCP be able to find it in your submission? When you run your analysis and you have a disparity in pay of 2% or $2,000, take a look at your outliers and figure out why they are above or below OFCCP’s line. This is the OFCCP’s cohort analysis.
Let us work through some common examples. Some industries have large waves of layoffs and rehires, and it could be beneficial to differentiate these employees in the submission as those rehired usually start at a higher wage than new hires. Security clearances are another example. Individuals that already have certain clearances from military or law enforcement experience are often desired. Perhaps it is a special certification, skill, overtime, location or the individual was promoted from another position only recently. What is often difficult to show is that a high starting salary was needed to draw a particular person away from his or her last job or to keep them from being poached. Do you need to track prior salary for your employees? Perhaps. What about performance increases? Think about the records OFCCP would want to see to support pay differences within personnel files. The ultimate key is whether there is nondiscriminatory support for pay differences for all employees, i.e., not only why a particular employee is eligible for a higher pay, but why his or her peers are not. Remember that the absence of evidence is very often “sufficient evidence” of discrimination.
The examples above are just a few of the common issues that come across the desks of the compliance officer that might be easily explained. Perhaps if you are aware of them in your self-audit you can present the facts to the agency so that the auditor can get a clear and accurate picture of why individuals are being paid the way they are in your organization up front. While often it is not recommended to provide the agency with more information than they have requested, it could be appropriate to provide some information to separate a certain group or to explain pay differences in the beginning in order to sidestep additional questions beyond the desk audit. Of course, in some situations, additional requests cannot be avoided and OFCCP may regress the data or reach out to you for additional information regardless of how well prepared you are.
It is important to note that much of the success that OFCCP has had in identifying systemic or individual cases of compensation discrimination have really been an issue of placements versus an actual discrepancy between pay. For example, women were “funneled” into lower paying jobs, yet paid appropriately for this work. This is outside the scope of this article. However, when you run your compensation analysis in the manner described in this article, you should be able to see overt patterns of funneling in your organization if they exist. Are there comparators, individuals of both genders or of different races/ethnicities, in the grouping? If not, then there may very well be a placement issue. Not necessarily, but it is certainly something into which one should look.
When doing a self-audit, before you ever receive the scheduling letter, you will have compared the average salaries by race, ethnicity and gender of appropriate groupings in your workforce, and will have identified and remedied any issues consistent with the laws and regulations enforced by the agency. It may seem overwhelming at first, but taking it step by step and thinking about it practically from a human perspective should simplify this task. You will know who the outliers are in your compensation data and, of course, you will have your evidence ready to support your compensation decisions. This preparation gives a good snapshot of the state of compensation in your organization and shows you what the OFCCP would probably see in an audit, putting your company ahead of many others.
This article is intended for information only. This article addresses general principles and does not guarantee any specific or similar results. It is not legal advice and should not be relied upon as such. It does not establish an attorney-client relationship and is not intended to provide particular advice or professional services in any respect. A competent professional should be consulted for any advice with the reader’s particular situation. This article may be considered lawyer advertising. This article may not be reproduced without express written permission by The Kaiser Law Group, PLLC.
For more information, please contact Lisa Kaiser at firstname.lastname@example.org
Copyright © 2017 The Kaiser Law Group, PLLC