AI Risk & Compliance Analyst
Job in
New York, New York County, New York, 10178, USA
Listed on 2026-06-23
Listing for:
Jobot
Full Time
position Listed on 2026-06-23
Job specializations:
-
IT/Tech
Information Security, Data Security, Cybersecurity, IT Business Analyst
Job Description & How to Apply Below
This Jobot Consulting Job is hosted by:
Amanda Preston Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $70 - $80 per hour A bit about us:
We are a large, diversified organization with a complex technology environment and a strong focus on responsible innovation. As AI adoption continues to expand across the business, our Governance, Risk & Compliance team plays a critical role in helping teams evaluate, document, and manage AI use cases in a practical, thoughtful, and compliant way. This is a highly visible opportunity to support enterprise-wide AI governance efforts in a federated environment.
The team partners closely with Legal, Privacy, Security, Procurement, Technology, and business stakeholders to ensure AI is adopted responsibly while still enabling innovation and operational progress. Why join us?
This role offers the opportunity to make an immediate impact on a growing AI governance program. You will help shape and improve the way AI use cases are reviewed, documented, approved, and monitored across a large enterprise environment. The right person will have the chance to work on meaningful AI risk and compliance initiatives, partner with senior stakeholders across multiple functions, and contribute to responsible AI practices s is an ideal opportunity for someone who enjoys building practical governance processes, improving workflows, and translating complex AI risk concepts into clear business guidance.
Job Details The Governance, Risk & Compliance organization is seeking an experienced AI Risk & Compliance Analyst to support the intake, assessment, documentation, and ongoing governance of AI use cases across the enterprise. This role is intended for a hands-on practitioner with direct experience in AI governance, AI risk assessment, responsible AI controls, regulatory alignment, and cross-functional review processes. The contractor will be expected to make an immediate impact by improving AI use case intake, strengthening risk review workflows, maintaining clear documentation, and helping align AI activities with evolving legal, regulatory, privacy, security, and compliance expectations.
Because the organization operates in a federated environment, this role requires strong stakeholder management, practical judgment, and the ability to help teams adopt AI responsibly without creating unnecessary friction. What You’ll Do Operate and improve the AI use case intake process, including triage, risk categorization, stakeholder routing, approval tracking, and follow-up. Conduct AI risk and compliance reviews for proposed and existing AI use cases, including evaluation of data use, privacy, security, third-party risk, regulatory exposure, business impact, and control requirements.
Review AI-enabled tools, platforms, vendors, and processes for risks related to confidential data, sensitive data, automated decision-making, transparency, human oversight, intellectual property, bias, accuracy, and regulatory obligations. Maintain and improve the AI use case inventory, including owners, vendors, data types, risk ratings, approval status, required controls, exceptions, and review cadence. Translate AI regulatory, privacy, security, and compliance expectations into practical intake questions, risk assessment criteria, control requirements, and decision records.
Support alignment with AI governance standards, regulatory expectations, and sector-specific guidance. Partner with Legal, Privacy, Security, Procurement, Technology, and business teams to document approvals, mitigations, exceptions, remediation actions, and ongoing monitoring requirements. Support third-party AI risk reviews, including evaluation of vendor AI capabilities, data processing practices, contractual considerations, and governance commitments. Develop and improve AI governance artifacts, including intake forms, review checklists, risk rating criteria, process documentation, decision templates, and reporting metrics.
Support reporting on AI governance activity, including intake volume, review cycle time, risk themes, open issues, remediation status, exceptions, and…
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