About the Role

This role will serve as a key execution partner to the GenAI Customer Compliance Manager, with a strong focus on supporting GenAI delivery workflows through embedded compliance operations and Legal coordination. The GenAI Compliance Operations & Programs Associate will sit at the intersection of Delivery, Ops, and Legal, ensuring that compliance considerations are integrated early in the project lifecycle, risks are clearly identified and prioritized, and Legal is engaged with the right context at the right time.

By owning execution, coordination, and delivery integration, this role frees the Customer Compliance Manager to focus on strategy, governance, and risk frameworks. The role requires strong operational ownership, comfort with ambiguity, and the ability to drive alignment across fast-moving, cross-functional teams.

Key Responsibilities

Compliance Review Operations & Legal Coordination

• Manage end-to-end compliance review workflows for GenAI projects — from early-stage intake through review, approval, launch, and verification — in close partnership with Engagement Management and Delivery.
• Evaluate incoming work for compliance risk signals (e.g., data sensitivity, copyright exposure, privacy concerns); triage and prioritize requests for Legal based on risk, scope, and delivery timelines.
• Partner with Engagement Management to translate and execute risk mitigation at both the project and customer level, gather operational input to develop and prioritize systematic compliance controls, and train/educate Ops stakeholders on common or emerging compliance risks.
• Ensure Legal receives clear, structured, and actionable context; coordinate reviewers across Legal and internal teams to support SLA adherence.
• Identify workflow friction points and contribute to improving processes, templates, and prioritization frameworks.
• Maintain dashboards to track throughput, bottlenecks, SLAs, and risk trends.

Risk Mitigation Solutions & Monitoring

• Support Engineering and Ops in developing and implementing scalable risk mitigation solutions.
• Operationalize solutions into repeatable workflows aligned with delivery processes.
• Monitor adoption and effectiveness; escalate gaps or risks as needed.

Customer Audit Support

• Support audit readiness activities including evidence collection and documentation under the direction of the Customer Compliance Manager.
• Assist in preparing audit packages and tracking progress toward readiness milestones.
• Support audit remediation efforts and follow-through.

Access Control & Operational Hygiene

• Manage day-to-day access governance across systems and sensitive datasets (including Redash and internal/external Google Groups).
• Execute quarterly access reviews and cleanup processes in alignment with policies set by the Customer Compliance Manager.
• Enforce and standardize permissions and operational controls; flag anomalies for escalation.

Qualifications

Required

• 1-3 years of experience in operations, program management, compliance, or GenAI/technical delivery environments.
• Must be local to Mexico with advanced English speaking skills
• Bachelor’s degree required; preferred fields include Business Administration, Operations Management, Information Systems, or Public Policy.
• Direct experience supporting or operating within GenAI/AI delivery workflows strongly preferred.
• Working knowledge of basic legal/compliance concepts (privacy, copyright, data handling).
• Proven ability to triage, prioritize, and manage high-volume workflows.
• Strong cross-functional collaboration skills, especially with Legal, Ops, Product, and Engineering.
• Experience with data tools and dashboards (e.g., Redash or similar).
• Basic understanding of SQL (e.g., able to build and run basic queries)
• High attention to detail and strong operational follow-through.

Nice to Have

• Experience in GenAI, Trust & Safety, or data compliance environments.
• Familiarity with legal intake processes or working directly with Legal teams.
• Experience designing operational workflows, intake systems, or triage frameworks.
• Exposure to risk assessment or prioritization models.
• Background in Law, Data Science, or Computer Science.