U.S. Customs and Border Protection (CBP) National Targeting Center (NTC) Data Ontology and United States Citizenship and Immigration Services (USCIS) Vetting Center (UVC) Optimization

To address the shared and organization-specific challenges, this SOW outlines the contractor support required under the DHS ICAM Support Services BPA to enable both CBP and USCIS to operationalize ICAM principles and achieve the following objectives: For Both Organizations: • Improve system and data interoperability to support integrated, cross-system vetting and targeting. • Reduce manual workload by embedding automation within operational workflows. • Enhance situational awareness and decision-making through integrated dashboards, advanced analytics, and real-time risk indicators. • Establish consistent data standards and governance structures. • Build workforce readiness through training, knowledge transfer, and user-centric design. • Implement integrated portfolio, program, and performance management to ensure alignment across initiatives and measurable value realization.
CBP NTC-Specific Objectives: • Improve system and data interoperability to increase operational efficiency. • Reduce manual workload through targeted workflow automation. • Enhance situational awareness through integrated dashboards and analytics. • Establish consistent data standards and governance structures. • Build workforce readiness through training and knowledge transfer. • Implement integrated portfolio, program, and performance management to ensure alignment across initiatives and value realization.
USCIS-Specific Objectives: • Establish an enterprise-wide, standardized vetting framework to enable consistent, risk-informed adjudication decisions. • Improve system and data interoperability to support integrated, cross-system vetting and a unified adjudication experience. • Reduce manual workload by embedding vetting capabilities within adjudication workflows and implementing targeted automation. • Enhance decision-making through integrated dashboards, advanced analytics, and real-time risk indicators at the point of decision. • Define and track key performance indicators tied to adjudication speed, consistency, and vetting effectiveness to enable data-driven continuous improvement. • Align funding, prioritization, and delivery through integrated portfolio, program, and performance management, with measurable value realization and reinvestment of efficiency gains. • Enable workforce readiness through training, knowledge transfer, and user-centric design to support adoption of new tools and processes.