Federal AI Privacy & Impact Consultant

Axyde Analytics, LLC; Washington (District of Columbia); On-site; USD 120,000 - 180,000; Full time

Job summary

Axyde Analytics, LLC is seeking an AI Privacy and Impact Assessment consultant in the Washington, DC area on a contingent basis tied to a government contract award. The engagement targets the ICE AI/data advisory initiative, with work to be determined by agency requirements and funding.

Responsibilities include assessing privacy and mission impacts of AI/data in federated workflows, mapping data practices to governance questions, and producing evidence of controls, testing and oversight

Qualifications

• Attributable privacy or AI impact-assessment work in federal or similarly complex regulated environments.
• Ability to connect policy and risk analysis to system behavior, data controls and demonstrable evidence.

Responsibilities

• Map data purposes, flows, access, retention and sharing to privacy and AI governance questions.
• Develop or review AI use-case inventories and impact assessments, including high-impact use considerations where applicable.
• Evaluate human oversight, misuse risks, affected-person impacts and the adequacy of technical evidence.
• Coordinate with legal, mission, security and accessibility specialists; translate findings into proportionate controls, monitoring and decision materials.
• Attributable privacy or AI impact-assessment work in federal or similarly complex regulated environments.
• Ability to connect policy and risk analysis to system behavior, data controls and demonstrable evidence.
• Experience coordinating multidisciplinary review and documenting assumptions, unresolved risks and mitigation responsibilities.

Job description

Axyde Analytics, LLC is seeking an AI Privacy and Impact Assessment consultant in the Washington, DC area on a contingent basis tied to a government contract award. The engagement targets the ICE AI/data advisory initiative, with work to be determined by agency requirements and funding.

Responsibilities include assessing privacy and mission impacts of AI/data in federated workflows, mapping data practices to governance questions, and producing evidence of controls, testing and oversight