SME Computer and Information Systems Manager

AMA Consulting LLC a Maryland-based Limited Liability Company provides a range of analytical acquisition and business management support services to federal agencies. AMA Consulting is an Equal Opportunity/Affirmative Action Employer. Join a dynamic team of forward-thinking professionals in our growing company.

SME Computer and Information Systems Manager

The SME Computer and Information Systems Manager leads technical strategy system-level integration and architecture alignment supporting AI RMF implementation and TEVV planning. This role ensures technical coherence across AI governance evaluation frameworks and standards alignment activities without performing operational system development.

Key responsibilities include:

1. AI Systems & Technical Strategy

• Provide technical leadership for AI RMF implementation across lifecycle phases
• Define system-level considerations supporting evaluation readiness and risk management
• Ensure integration between AI governance frameworks and technical architectures

1. TEVV Planning & Coordination

• Lead development of TEVV planning frameworks including evaluation objectives and scoping
• Ensure traceability between AI risk factors and evaluation methodologies
• Support synthesis of evaluation insights into reusable artifacts

1. Standards & Interoperability Alignment

• Analyze AI standards landscape and technical alignment with AI RMF
• Identify interoperability considerations and evaluation implications
• Support drafting of technical contributions to standards organizations

1. Data Systems and Integration Oversight

• Advise on data flows system dependencies and evaluation infrastructure considerations
• Ensure alignment between technical systems and risk management processes
• Support documentation of assumptions constraints and technical dependencies

1. Program Support & Technical Leadership

• Provide technical oversight to project team
• Support development of analytical frameworks and deliverables
• Participate in stakeholder briefings and technical discussions

Required qualifications to be successful in this role:

• Bachelors degree in Computer Science Information Systems AI or related field (Masters preferred)
• 10 years of experience in IT systems management or AI/ML systems
• Experience with AI lifecycle evaluation frameworks and risk management
• Strong knowledge of system architecture data systems and integration practices
• Experience supporting federal AI or emerging technology programs
• Familiarity with NIST frameworks AI standards and TEVV methodologies
• Experience supporting standards development organizations (SDOs)