AI Risk Manager

Elder Research

$120K — $150K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years experience in AI evaluation, assurance, or TEVV-related activities.
  • 5+ years of hands-on implementation of AI risk management and governance programs.
  • In-depth knowledge of AI lifecycle risk management and governance frameworks.
  • Proficient in creating technical frameworks and operational guidance for AI risk and evaluation.
  • Familiarity with standards development organizations related to AI practices.
  • Strong communication and stakeholder engagement abilities.

Responsibilities

  • Develop AI risk management and TEVV frameworks based on industry best practices.
  • Support governance activities like risk mapping and evaluation planning.
  • Produce governance briefs and executive-level reporting materials.
  • Contribute to AI standards initiatives and develop materials for working groups.
  • Collaborate with cross-functional teams to implement trustworthy AI strategies.
  • Deliver updates, strategic recommendations, and enhancements based on AI risk evolution.

Benefits

  • Hybrid work environment (1-2 days onsite per week) in the DC area.
  • Ability to engage in advanced AI risk management practices.
  • Opportunities for involvement in AI governance and standards development.
  • Access to a network of industry professionals and innovatives.
Full Job Description
AI Risk Manager

General Information

Requisition # 968

Locations USA-VA-Arlington

Posting Date 05/22/2026

Security Clearance Required - Active Public Trust at time of hire

Remote Type Hybrid (must be located in the Washington DC Area)

Time Type Full time

Description & Requirements

Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented AI Risk Manager and TEVV Subject Matter Expert to join our team in Arlington, VA. This is a hybrid position with 1-2 days onsite per week.

We are seeking an experienced AI Risk Manager & Test, Evaluation, Verification, and Validation (TEVV) Subject Matter Expert to support the development of frameworks, methodologies, and operational guidance that strengthen trustworthy AI adoption and governance. This role will help advance AI risk management practices, AI assurance approaches, standards alignment, and evaluation readiness across complex technical environments.

Responsibilities include but are not limited to:
  • Develop and maintain AI risk management and TEVV frameworks aligned to industry best practices and emerging AI standards.
  • Support AI governance activities, including risk mapping, evaluation planning, and integration of evaluation insights into operational risk management processes.
  • Produce governance briefs, standards alignment analyses, technical guidance, and executive-level reporting materials.
  • Contribute to AI standards and technical governance initiatives, including review and development of materials for standards organizations and industry working groups.
  • Collaborate with cross-functional technical and leadership teams to support trustworthy AI implementation and adoption strategies.
  • Deliver status reporting, strategic recommendations, and continuous framework enhancements based on evolving AI risks and evaluation needs

Minimum Qualifications:
  • Minimum of 8 years of experience supporting AI evaluation, assurance, measurement science, or TEVV-related activities.
  • At least 5 years of hands-on experience implementing AI risk management, AI governance, or AI assurance programs.
  • Strong understanding of AI lifecycle risk management, evaluation methodologies, and AI governance frameworks.
  • Experience developing technical frameworks, operational guidance, and executive briefings related to AI risk and evaluation.
  • Familiarity with AI standards development organizations and emerging trustworthy AI practices preferred.
  • Excellent communication, analytical, and stakeholder engagement skills.

Preferred Qualifications:
  • Knowledge of AI risk management frameworks, evaluation readiness methodologies, and standards alignment activities.
  • Experience supporting cybersecurity, critical infrastructure, manufacturing, or other high-priority AI application domains.
  • Ability to translate complex AI governance and technical concepts into actionable operational guidance.

Clearance Requirements:
  • Must have an Active Public Trust at time of hire

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