Compliance Risk Analyst

Analyzing the AI use cases and taking them through their lifecycle such as Intake, Review, Assessment, Socialization and Closure. Maintain inventories of AI systems, models, datasets, and third‑party AI tools, including risk tiers and approval statuses. Highlight risks associated with the use case and make the business owners aware of the risks and help those business owners respond to those risks. Lead AI risk assessments: assess purpose, model risk, bias, transparency, accuracy, human oversight, etc. Operations & Enablement Run the AI intake process (triage, scoping, routing) in collaboration with Legal, Privacy, Cybersecurity, IT and Business stakeholders. Develop governance templates and artifacts (risk profiles, decision logs, RACI, playbooks, assessment checklists, etc). Monitoring & Reporting Produce dashboards and executive reports for leadership, audit, and regulatory inquiries. Facilitate periodic reviews of AI systems; coordinate post‑deployment monitoring and incident response workflows. Stakeholder Collaboration Partner with IT, Legal, Privacy, Cybersecurity, and AI Governance Committee to align governance requirements with delivery milestones and identify regulatory considerations the AI use cases pose to the organization. Support the organization’s AI literacy program through risk identification and providing business owners guidance on responsible AI practices, policy updates, and process changes. Core Competencies Risk Mindset: Ensures strong governance without hindering innovation; foresees downstream risks and raises them to the business teams. Analytical Thinking: Structures complex problems, synthesizes evidence, and recommends actionable controls. Stakeholder Influence: Facilitates alignment across Legal, Privacy, Cybersecurity, IT and AI Governance Committee. Communication: Produces clear, audit‑ready documents and concise executive updates. Process Ownership: Drives intake, assessment, and monitoring workflows end‑to‑end with strong follow‑through. Required Qualifications 3+ years of governance or risk management type experience 1 - 2 years of AI experience Experience operationalizing governance processes (intake, control testing, evidence collection, reporting, and control/risk assessments) Experience working with Microsoft Office Suite Working knowledge of AI/ML (machine learning) concepts (data pipelines, model lifecycle, performance monitoring, bias, explainability) Strong analytical, documentation, and stakeholder communication skills Bachelor’s degree in a relevant field (e.g., Data/Computer Science, Information Systems, Risk/Compliance) OR equivalent experience #J-18808-Ljbffr EPITEC