Zoo Operations Analyst Jobs (NOW HIRING)

Job Summary:
ECS is a federal segment of Everforth, focusing on advanced technology solutions in data and AI, cybersecurity, and enterprise transformation. The Model Zoo Enablement Specialist will maintain user-facing guidance and metadata standards for the War Data Platform's AI and machine learning model zoo, ensuring operational readiness and supporting Department of War missions.
Responsibilities:
• Maintains user-facing guidance and metadata standards governing access requests for the War Data Platform (WDP) Core Integration artificial intelligence and machine learning model zoo supporting Department of War missions, Joint Staff analysts, Combatant Command elements, and Senior Executive Service leadership.
• Develops concise request-submission instructions, metadata field definitions, and access-pattern descriptions that align with enterprise deployment architectures, cross-domain security requirements, and mission-assurance objectives.
• Updates guidance each release cycle by reviewing serving-pipeline changes, API endpoint modifications, proxy configuration updates, and model-runtime adjustments.
• Applies GitLab Continuous Integration, SharePoint, Confluence, VMware environments, and structured metadata validation tools to maintain authoritative request documentation and consistent user-experience patterns across all enclaves.
• Coordinates with Platform One, Cloud One, multi-national engineering teams, and cross-service mission partners to align metadata standards with evolving model-serving workflows, external-model integrations, and automated scanning pipelines.
• Supports operational readiness by validating request completeness, identifying missing metadata, and coordinating corrections with mission stakeholders.
• Produces mission-critical deliverables including updated user-facing guidance, metadata-standards documentation, access-request validation reports, operational risk considerations, and release-aligned documentation packages.
• Strengthens program value by reinforcing deployment consistency, advancing user-access clarity, and supporting mission-aligned adoption of artificial intelligence capabilities across the WDP Core Integration ecosystem.
• Contributes to Tier-4 support activities by maintaining authoritative request-metadata records required for incident triage, access-pattern analysis, and operational continuity.
• Performs other duties as assigned.
Qualifications:
Required:
• Current Secret security clearance with the ability to obtain and maintain a Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI).
• 3 or more years of experience in technical writing, knowledge management, platform enablement, or IT support roles within a federal government or classified environment, including demonstrated ability to develop and maintain user-facing documentation, metadata standards, or access request guidance for enterprise software or AI/ML platform services.
• CompTIA A+ certification or equivalent, demonstrating validated foundational knowledge of IT systems, hardware, software, and operational support practices.
• Strong problem-solving and decision-making capabilities, with a proven ability to weigh the relative costs and benefits of potential actions and identify the most appropriate solution.
• Highly developed interpersonal and oral/written communication skills, with the ability to effectively and professionally interact with a diverse set of stakeholders (from peers to end-users to executive management).
Preferred:
• Active Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI) eligibility.
• Familiarity with AI/ML model lifecycle concepts, including model catalog structure, metadata schema design, API endpoint access patterns, and model-serving workflows, with demonstrated ability to translate technical platform changes into clear, accurate user-facing documentation aligned with release cycles.
• Experience using collaborative documentation and content management platforms such as SharePoint, Confluence, or GitLab in a DoW or federal government environment, including version control practices, controlled vocabulary design, and structured content governance in support of multi-enclave user communities.
• Working knowledge of DoW DevSecOps platform environments such as Platform One or Cloud One, including familiarity with how automated scanning pipelines, proxy configurations, and cross-domain transfer requirements affect model access workflows and user request documentation.
• Experience contributing to Tier-2 or Tier-4 support operations, including the maintenance of authoritative operational records used for incident triage, access-pattern analysis, or escalation coordination within a classified or multi-enclave enterprise IT environment.
Company:
Everforth ECS is the federal segment of Everforth, a $4B global organization with over 10,000 employees. Founded in 2001, the company is headquartered in Fairfax, USA, with a team of 1001-5000 employees. The company is currently Late Stage.