Cybersecurity Analyst / ISSO in Stafford, Virginia at Spry Methods

This role requires a strategic understanding of how emerging technologies (like A.I.) and high-level USMC Cyber Directives impact the acquisition lifecycle and overall enterprise risk posture.

• A.I. Risk & Architecture: Experience assessing the risk of Artificial Intelligence (A.I.) and Machine Learning (ML) capabilities, including familiarity with emerging DoD A.I. security guidelines, data pipeline security, and assessing A.I. toolsets within the authorization boundary.
• DoD/ DoW Cyber Directives: Proven capability to interpret, analyze, and direct programmatic responses to MFCC (Marine Forces Cyber Command) and DCDC (Department of Defense Cyber Defense Command) TaskOrds, Cyber Tasking Orders (CTOs), and other organizational directives, policies, and messages governing cyber / IT.
• Strategic POA&M Management: Expert-level creation, management, and strategic burn-down of complex Plan of Action and Milestones (POA&Ms) across multiple enterprise systems, ensuring alignment with USMC continuous monitoring timelines / requirements.
• CND Oversight: Advanced understanding of Computer Network Defense (CND) architectures, including zero-trust principles, network boundary defense, and threat intelligence integration.
• RMF Leadership: Deep expertise navigating eMASS and leading systems through the complete Risk Management Framework (RMF) Assess and Authorize (A&A) lifecycles and workflows.
• Deep understanding of NIST SP 800-53 security controls, CNSSI 1253, NIST SP 800-161 & NIST SP 800-162, and DoDI 8510.01.
• Experience drafting organizational cybersecurity policies, Incident Response Plans, and Continuous Monitoring Strategies.
• Advanced proficiency using the DISA STIG Viewer, executing SCAP Compliance Checker (SCC), using eMASSter, and manually validating STIG/SRG requirements on diverse operating systems (Windows, Red Hat Linux, Cisco IOS, Cisco ASA).
• Expert level understanding of applying zero-trust methodologies to system design and tracking implementation throughout the system life-cycle.