26-1137: Change and Configuration Governance Analyst - Herndon, VA

Navitas Business Consulting•Herndon, VA
•$120,000 - $155,000

About The Position

Navitas is seeking a senior Change Management & Configuration Governance Architect to lead the design, implementation, and oversight of enterprise change management and configuration governance frameworks supporting federal architecture modernization initiatives. The role establishes governance processes so architectural, infrastructure, cybersecurity, and AI/ML system changes are reviewed, approved, documented, and traceable throughout their lifecycles. The architect advises Change Control Boards (CCB), Engineering Change Boards (ECB), and Architecture Review Boards (ARB), ensuring compliance with RMF, NIST 800-53, and agency governance requirements. The role also defines governance processes for AI-enabled capabilities, including AI/ML model versioning, agentic AI system updates, prompt engineering baselines, and AI deployment approvals, with a focus on transparency, accountability, and audit readiness.

Requirements

  • Active Top Secret (TS) security clearance with SCI eligibility.
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field; a master’s degree is preferred.
  • 10+ years of experience in change management, configuration management, enterprise architecture governance, IT service management, or related disciplines.
  • Experience supporting Change Control Boards (CCB), Engineering Change Boards (ECB), and Architecture Review Boards (ARB).
  • Experience implementing enterprise configuration management and release management processes.
  • Strong knowledge of Risk Management Framework (RMF), NIST 800-53 controls, and federal compliance requirements.
  • Experience supporting cloud modernization, enterprise technology transformation, or digital modernization programs.
  • Must be DOW 8140 certified.
  • ITIL Foundation Certification.
  • Ability to obtain and maintain the required Top Secret government security clearance.

Nice To Haves

  • Experience developing governance processes for AI/ML systems, software development lifecycle activities, or enterprise platforms.
  • Master’s degree in Computer Science, Engineering, Information Technology, or a related discipline.
  • Experience with Configuration Management Database (CMDB) platforms and governance tools.
  • Experience with ServiceNow Change Management, Configuration Management, and ITSM modules.
  • Experience with enterprise architecture governance frameworks and review processes.
  • Experience with release management and DevSecOps governance methodologies.
  • Knowledge of AI/ML model lifecycle management and model governance concepts.
  • Experience with version control and deployment management platforms, including GitHub Enterprise, GitLab, Azure DevOps, and associated approval workflows.
  • Experience with cloud governance and operational frameworks within AWS and Azure environments.
  • Experience with audit readiness, compliance reporting, and governance process optimization.
  • Certified Change Management Professional (CCMP).
  • Prosci Change Management Certification.
  • Certified Configuration Manager (CCM).
  • Certified Government Auditing or Governance certifications.

Responsibilities

  • Define and oversee enterprise change management, configuration governance, and release management frameworks supporting mission, business, and cloud environments.
  • Lead CCB, ECB, and ARB governance processes, including workflows, documentation standards, approval procedures, and deployment governance.
  • Ensure architectural and system changes maintain traceability to RMF, NIST 800-53, system security plans, authorization packages, and compliance requirements.
  • Establish and maintain configuration management standards, baselines, and audit-ready governance processes across enterprise technologies.
  • Develop governance frameworks for AI/ML systems, including model versioning, retraining, fine-tuning, deployment promotions, retirement, and prompt engineering baselines.
  • Govern agentic AI and autonomous workflow changes, ensuring updates follow established approval processes with full auditability and lifecycle traceability.
  • Collaborate with architects, cybersecurity teams, and stakeholders to assess change impacts, monitor governance metrics, support audits, and drive process improvements while maintaining compliance.
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