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Leidos · 1 month ago

Cyber Analyst (Authorization to Connect)

Odenton, MD

Full-time

Hybrid

Mid Level

$55K/yr - $100K/yr

3+ years exp

Leidos is seeking multiple Cyber Analysts to support their Connection Approval / Authorization to Connect efforts. The role involves ensuring compliance with DoD architectures, developing policies, and conducting compliance analysis for cybersecurity impacts.

ComputerGovernmentInformation ServicesInformation TechnologyNational SecuritySoftware

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Support Connection Approval branch leadership with communication, deliverables, and documentation, including briefings, white papers, SOPs, CONOPS, COOP Plans, and DISN CPG updates

Ensure compliance with DoD architectures, programs, and standards, developing and maintaining SOPs/TTPs, and distributing up to three memorandums annually

Develop and implement policies, plans, and SOPs for compliance with Federal, DoD, and DISA policies, including SIPRNet Access Migration (SAM), MPLS networks, RMF, and Cloud connection approvals

Provide cybersecurity policy recommendations supporting DISA’s strategic planning, governance, and change management

Conduct IA compliance analysis and assess the cybersecurity impact of DISN connections, reviewing network packages, RMF Security Authorization Packages, and security agreements (MOAs/MOUs)

Process and perform quality assurance on connection approval packages, resolving customer issues and ensuring compliance with DoD policies

Process connection packages, extract and deliver monthly performance metrics reports, and provide weekly 30/60/90-day reports on expiring circuit connections to CAO Government and JFHQ-DODIN personnel

Attend internal and external events, including governance boards and working groups, to provide meeting minutes and track action items

Maintain data integrity of CAO databases, managing organizational mailboxes, tracking MP metrics, and processing connection package correspondence using Government-approved systems