Data and AI Risk & Ethics Specialist

Defense Media Activity; Fort Meade (MD); On-site; USD 80,000 - 120,000; Full time

Job summary

The Defense Media Activity seeks a Data and AI Risk & Ethics Specialist to assess and mitigate risks across AI/ML systems throughout their lifecycle. You will apply DoD AI principles, support governance guidance, and coordinate with legal, privacy, cybersecurity, and program teams to address data privacy and security concerns.

You will prepare risk assessments and policy recommendations for organizational leaders and stakeholders, ensuring proper documentation and ongoing governance across AI

Qualifications

• Degree in Mathematics, statistics, or actuarial science or an equivalent combination of education and experience.
• Experience evaluating AI/ML systems for risks across technical, security, and governance dimensions.
• Familiarity with DoD AI principles, RMF, and data privacy considerations.

Responsibilities

• Assess and mitigate risks across the AI/ML lifecycle for DoD-wide use.
• Support governance guidance and policy recommendations to leaders and stakeholders.
• Collaborate with legal, privacy, cybersecurity, and program personnel on risk controls.

Skills

AI risk assessment

Governance & policy

RMF & DoD standards

Cross-functional collaboration

Data privacy & PHI handling

Education

Mathematics / Statistics / Actuarial Science degree

Tools

RMF framework

Job description

This position is part of the War Media Agency. The incumbent will be responsible for assessing and mitigating technical, operational, security, ethical, societal, organizational, and mission-related risks associated with Artificial Intelligence and Machine Learning (AI/ML) systems throughout their lifecycle.

Data and AI Risk & Ethics Specialist

To qualify for a Data and AI Risk & Ethics Specialist, your resume and supporting documentation must support: A. Basic Requirements: Applicants must meet one of the following requirements: Degree: Mathematics, statistics, or actuarial science. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. OR Combination of education and experience: Courses equivalent to a major field of study as shown in paragraph A above, plus additional education or appropriate experience. B. Specialized Experience: One year of specialized experience that equipped you with the particular competencies to successfully perform the duties of the position and is directly in or related to this position. To qualify at the GS-12 level, applicants must possess one year of specialized experience equivalent to the GS-11 level or equivalent under other pay systems in the Federal service, military or private sector. Applicants must meet eligibility requirements including minimum qualifications, and any other regulatory requirements by the cut-off/closing date of the announcement. Creditable specialized experience includes: Evaluating Artificial Intelligence and Machine Learning (AI/ML) systems to identify technical, operational, security, societal, organizational, and mission risks, including operational vulnerabilities and data-poisoning risks. Applying the DoW AI Ethical Principles, DoW Unbiased AI Principles, Responsible AI Guidelines, Risk Management Framework (RMF), DoW Cloud Computing Security Requirements Guide, or comparable governance and risk-management standards to support responsible AI development and use. Collaborating with appropriate technical, legal, privacy, cybersecurity, and program personnel to assess and address data privacy, data security, and data reusability concerns involving Personally Identifiable Information (PII), Protected Health Information (PHI), or other sensitive data used in AI/ML solutions. Preparing and communicating AI risk-assessment findings, mitigation strategies, governance guidance, and policy recommendations to organizational leaders, AI developers, program officials, DoW components, interagency partners, or other stakeholders. Reviewing and documenting AI design, development, acquisition, testing, deployment, or use activities to ensure identified risks, technical decisions, risk controls, system changes, and assurance efforts are properly documented and updated throughout the AI lifecycle. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.

*NOTE: Failure to provide transcripts will result in you being rated ineligible for this position.