AI Governance Team, AI Risk and Operations

Governance & Frameworks

• Enhance the enterprise AI Risk Management Framework, including AI use case and supply chain inventory management, use case risk classification taxonomies, and risk-tiering mechanisms aligned to internal standards and emerging regulatory expectations
• Design and operationalize scalable, end-to-end governance processes across the AI lifecycle
• Build and maintain AI governance playbooks, risk appetite frameworks, and responsible AI standards
• Identify opportunities to strengthen controls and oversight through process automation, tooling improvements, and governance workflow optimization

Cross-Functional Collaboration

• Partner with Legal, Technology, and Consulting Practice Groups to embed explainability, bias mitigation, and ethical AI principles directly into use case development and delivery workflows
• Manage the firm's AI Governance obligations and processes end-to-end, including supporting AI and related vendor management supply chain
• Coordinate with Legal teams to ensure AI systems meet applicable jurisdictional and regulatory requirements, including proactive engagement on evolving global AI legislation
• Facilitate stakeholder working groups, cross-functional governance forums, and executive communications on AI risk priorities, testing outcomes, and documentation requirements
• Maintain the internal AI risk register and escalate issues through appropriate governance channels
• Liaise with Technology and Practices to ensure data lineage and quality standards are met for AI solutions

Monitoring & Oversight

• Establish, track, and report on key risk indicators (KRIs) for AI systems in partnership with the Responsible AI Data Scientist and AI Governance Lead, across internal and client-facing AI solutions and products
• Monitor alignment with global AI regulatory frameworks (e.g., EU AI Act, NIST AI RMF) and support responses to regulatory inquiries, audits, or reviews
• Evaluate risks associated with third-party and vendor AI solutions across the full sourcing lifecycle — including procurement, onboarding, integration, and ongoing performance oversight — and identify operational guardrails and controls
• Assess design and operating effectiveness of AI controls against internal policy and external standards, especially for AI, privacy, and industry regulations, under Legal's guidance
• Produce high-quality audit findings reports with clear recommendations for remediation and monitor implementation of agreed action plans
• Stay current on AI regulation, industry standards, and emerging best practices

Internal Enablement (Evolving)

• Support the development of AI Governance updates, training/awareness programs, and culture-building initiatives to embed responsible AI practices across the organization
• Contribute to Accordion's Trustworthy AI methodology and internal IP development
• Over time, support client-facing AI governance assessments, risk remediation roadmaps, and responsible AI frameworks as the program matures and scope expands