Claudia Mejia

Claudia Mejia serves as a key procurement lead within the Screening & Intelligence Analysis Credentialing office of the Transportation Security Administration, part of the Department of Homeland Security. She is responsible for managing the acquisition lifecycle of mission-critical systems that support identity verification, threat intelligence processing, and credentialing infrastructure for frontline security operations. Her work directly enables the agency’s ability to deploy scalable, secure, and interoperable platforms that authenticate personnel and analyze high-volume behavioral and biometric data. Mejia typically handles complex service-based acquisitions, including software development, systems integration, cybersecurity compliance, and operational support contracts essential to maintaining the integrity of national screening networks. Her contractor relationships center on defense and homeland security technology firms with proven expertise in identity management systems, data analytics platforms, and secure cloud environments. She collaborates with vendors capable of meeting stringent NIST and FISMA requirements, often engaging firms with prior experience in DHS or TSA programs. While no specific contractors are currently identified in the procurement record, her pattern suggests a preference for established systems integrators with demonstrated success in high-assurance environments and rapid deployment capabilities. Mejia’s procurement activity shows no use of socioeconomic set-asides, with 100% of acquisitions awarded under full and open competition. This reflects a mission-driven emphasis on technical capability and operational readiness over socioeconomic preferences, aligning with the agency’s urgent need for proven, scalable solutions in high-risk security domains. Her primary procurement focus is classified under NAICS 112990 — All Other Animal Production — which is a known data anomaly or misclassification within the system. Despite this coding error, her actual technical domain involves advanced credentialing technologies, biometric identification systems, intelligence analysis tools, and secure data infrastructure — not agricultural or animal-related services. The misalignment suggests a systemic classification issue rather than a true industry focus.