Senior Compliance Analyst, Artificial Intelligence

Opportunity

AI compliance operations

• Manage AI use-case and AIRA intake and triage using established risk-tiering criteria; escalate complex or higher-risk items to the Director, AI Compliance.
• Administer low- and, with experience, medium-complexity AIRA cases, including findings, status tracking, and stakeholder follow-up.
• Maintain a current, complete, audit-ready AI use-case inventory and related records; support control-evidence collection for audits and investigations.
• Track remediation items, outstanding actions, and overdue tasks across the program.
• Triage DLP alerts and exceptions under established risk thresholds and promptly escalate incidents under incident protocols.

Reporting and program support

• Prepare recurring metrics on intake, triage, inventory and AIRA currency, control-evidence completeness, and overdue actions.
• Support AI governance and NIST AI RMF reporting, roadmap deliverables, and other assigned regulatory or governance workstreams.
• Support AI compliance, risk management, and responsible AI training and awareness materials.
• Contribute to program workflows, templates, and procedures, including triage criteria and escalation paths.
• Coordinate with Enterprise Security on NIST AI RMF, AI policy compliance, and DLP tooling and alerting; coordinate with Business Technology on approved AI tools and enterprise rollout.
• Escalate ambiguous, higher-risk, precedent-setting, or out-of-scope matters; prepare recommendations and analysis for the Director's review.
• As program maturity grows, take on more medium-complexity work independently as escalation thresholds are recalibrated.
• Work closely with Legal, Compliance, Applied Intelligence, Cybersecurity, and Data Governance; refer matters requiring judgment, negotiation, or policy interpretation to the Director.

What you'll need

• 3–5 years of relevant experience in compliance, risk management, audit, investigations, or technology operations.
• A related bachelor's degree is preferred; equivalent experience is considered.
• Strong analytical and case-management skills, including triaging and tracking high volumes of items against defined criteria and timelines.
• Strong plain-language writing skills and ability to summarize findings clearly for technical and non-technical audiences.
• Sound judgment about when to act independently or escalate; comfort with documented workflows and criteria.
• Advanced familiarity with AI and data governance concepts, including AI risk assessment, DLP, and control evidence, gained through relevant experience.
• Formal AI/ML technology expertise is not required.