Personnel and Supply Chain Vetting Analyst (Intelligence Analyst 3) - 30281 at HII in Washington, DC

Job description

Requisition Number: 30281 Required Travel: 0 - 10% Employment Type: Full Time/Salaried/Exempt Anticipated Salary Range: $96,132.00 - $131,000.00 Security Clearance: TS/SCI Level of Experience: Mid HI This opportunity resides with All-Domain Operations (ADO) , a business group within HII’s Mission Technologies division. All-Domain Operations comprises multi-domain operations, platforms and logistics, and intelligence operations. HII designs, develops, integrates and manages the sensors, systems and other assets necessary to support integrated ISR operations and accelerated decision-making. With data fusion and mission management capabilities for the Department of Defense, the combatant commands and the intelligence community, HII advances the mission around the globe. Leadership Mindset at HII – Mission Technologies Leadership at HII is a mindset, not a title. Through our Leadership Capability Framework, we define how every employee grows, leads, and contributes—regardless of role. It sets the standard for how you can develop yourself and what you can expect from leaders across our organization. We look for candidates who want to grow in alignment with these capabilities: Know & Grow Your People – Commit to learning and supporting team success. Build Relationships – Communicate openly, collaborate well, and build trust. Take Ownership – Deliver on commitments and take pride in your work. Customer First – Focus on the mission and those we serve. Shape the Future – Bring ideas, curiosity, and continuous improvement. Act with Urgency – Take initiative and follow through with purpose. These capabilities guide how all employees contribute to our shared success across Mission Technologies. Who We Are HII-Mission Technologies is seeking a Small Business Innovation Research/ Small Business Technology Transfer (SBIR/STTR) Due Diligence Specialist to serve in the Office of National Security (ONS), within the Immediate Office of the Secretary at the U.S. Department of Health and Human Services (HHS). The specialist will support ONS by conducting national security due diligence and research security assessments of SBIR/STTR companies, key personnel, researchers, and affiliated entities to identify foreign ownership, control, or influence (FOCI), foreign affiliations, research security concerns, supply chain vulnerabilities, technology transfer risks, and other national security indicators. The specialist will leverage commercial data sources, open-source information, U.S. Government information, and, when authorized, classified reporting to assess corporate ownership, investment and financial relationships, researcher affiliations, intellectual property, foreign collaborations, and related risks, while supporting the development of standardized risk-based screening, enhanced due diligence, case management, and analytic methodologies across HHS SBIR/STTR programs. ONS provides Counterintelligence, Intelligence, and administrative support to customers within HHS. This role will fall under the Identity Intelligence Division and will focus on providing intelligence analysis and support related to Supply Chain Risk Management (SCRM) portfolio to senior HHS leaders. What You Will Do The selected candidate will support the Office of National Security (ONS) in identifying and assessing national security, supply chain, research security, and foreign influence risks associated with HHS SBIR/STTR applicants and awardees. The analyst will conduct comprehensive due diligence and all-source analysis of companies, technologies, key personnel, investors, and research partners, examining foreign ownership, control and influence, corporate structures, beneficial ownership, investments, affiliations, research collaborations, intellectual property, patents and publications, technology transfer, supply-chain dependencies, and connections to foreign governments or entities of national security concern. Using government holdings, commercial datasets, corporate a