A talent leader at a defense prime told us last quarter that the company had an explicit veteran hiring target tied to executive compensation. Recruiters were briefed. Job descriptions carried veteran-friendly language. The careers page led with a service member silhouette. After three quarters of effort, the percentage of veteran hires had not moved.
The problem was not intent. The problem was infrastructure. The Applicant Tracking System sitting between the job posting and the recruiter was rejecting veteran resumes at a rate that no amount of downstream goodwill could compensate for.
This pattern repeats across companies that genuinely want to hire veterans. The intent is real. The pipeline is broken at a layer most hiring leaders do not look at.
Where the Pipeline Really Breaks
An ATS is a sorting tool. When a job posting receives two hundred applications, the system narrows the field by scoring each resume against a list of keywords pulled from the job description. A resume that scores below the threshold is filtered out. A recruiter never sees it.
Veteran resumes score poorly on this kind of test for one specific reason: the vocabulary in the resume does not match the vocabulary in the job description. A Marine writing about leading a "communications cell" has done the same job as a civilian "IT operations supervisor," but the keyword filter does not know that. An Army logistics NCO who managed a multimillion dollar supply chain across forward-deployed units does not write the words "supply chain manager" because that is not how the work was named.
The veteran has the capability. The job description has the requirement. The ATS sits in the middle and refuses to connect them because the words are different.
Why Good Intentions Do Not Reach the Filter
When a CHRO sets a veteran hiring goal, the directive cascades to recruiters, hiring managers, and DEI program leads. None of those people own the ATS keyword logic. The system was configured by a procurement team, sometimes years earlier, and has rarely been audited since.
Recruiters know veterans get filtered out. Many of them have stories about candidates they could not justify advancing because the system flagged the resume too low. The intent at the human layer is real, but the human layer never sees the rejected applicants. Pipeline metrics show low veteran applicant volume. Leadership concludes the problem is sourcing. Sourcing teams spend more on military job boards. Volume increases at the top of the funnel and the same percentage gets filtered out at the same layer.
Veteran hiring quotas do not change ATS keyword logic. If the screening layer is rejecting veterans before recruiters see them, every downstream initiative is operating on a filtered population. The numbers cannot move until the filter changes.
The Labor Market Context Most Leaders Are Missing
Veteran unemployment looks healthy on paper. The Bureau of Labor Statistics reported a March 2026 veteran unemployment rate of 3.8 percent, slightly below the 4.1 percent civilian rate. The headline suggests a market that absorbs veterans well.
The headline is misleading. Underemployment is the more useful measure, and there veterans fall behind by a wide margin. LinkedIn's research found veterans are 34 percent more likely to be underemployed than their nonveteran counterparts and 70 percent more likely to take a step back in seniority when transitioning to civilian work. A retired Senior Chief who ran a department of forty sailors does not get hired as a director. They get hired as an individual contributor and the company misses the leadership capability entirely.
Underemployment is what happens when the system lets a veteran through the filter but at the wrong level. The cause is the same: the filter cannot read the resume at full value, so the candidate either gets rejected outright or routed to a role that matches the few keywords that did parse.
What Hiring Leaders Can Do This Quarter
Three changes move the numbers. None of them require a new HRIS contract.
Audit the ATS scoring logic on your top three veteran-relevant requisitions. Pull the keyword list. Compare it against military occupational specialty descriptions and common military leadership vocabulary. Ask your ATS vendor to show you the rejected resume sample and read ten of them. If you cannot do this in your current system, that is the audit result.
Add a parallel veteran review track for cleared and security-relevant roles. Any requisition that requires or prefers a security clearance should bypass keyword scoring entirely. The clearance market is supply-constrained, and treating cleared veterans as a normal applicant pool wastes the most expensive credential the federal government issues.
Measure pipeline conversion at the screening layer, not the offer layer. Most veteran hiring dashboards report on hires, interviews, and applicants. The number that matters is the percentage of veteran applicants who pass the automated screen. If that number is below the rate for nonveterans, the filter is the problem and no downstream effort will fix it.
What a Veteran-Aware Screen Does Differently
The fix is not a quota or a workaround. It is a screening layer that reads a resume the way a senior hiring manager would read it. That means recognizing that "S6 NCOIC" and "IT operations lead" describe the same job. It means understanding that a Gunnery Sergeant who managed a forward operating base communications team has direct equivalents in enterprise IT, network operations, and infrastructure leadership. It means treating an active TS/SCI clearance as the high-value credential it is rather than a phrase with no keyword weight.
TrueScan HR was designed for this. Veteran Translation Mode reads the full resume, maps military experience to civilian role requirements, and returns a written assessment of whether the candidate can do the job. The output is not a keyword score. It is a hiring manager judgment delivered in seconds, on every resume in the stack, with the military vocabulary translated automatically.
For companies with veteran hiring goals, the difference shows up in a single number: the percentage of veteran applicants who reach a human reviewer. Move that number, and the rest of the pipeline starts to behave the way the strategy assumes it should.
Thabiti Adams is a CISSP and CCSP certified cybersecurity professional and founder of Adams Cloud & Cybersecurity.