Manager - AI Governance & Risk

Citrin Cooperman offers a dynamic work environment, fostering professional growth and collaboration. We're continuously seeking talented individuals who bring a problem-solving mindset, fresh perspectives, and sharp technical expertise. We know you have choices, so our team of collaborative, innovative professionals are ready to support your professional development. At Citrin Cooperman, we offer competitive compensation and benefits and most importantly, the flexibility to manage your personal and professional life to focus on what matters most to you! We are seeking a Manager - Enterprise AI Council, Governance, to join our Risk Management team. They support the responsible, compliant, and business-aligned use of artificial intelligence (AI). They also support CC's enterprise AI governance framework by providing structured oversight, risk evaluation, and coordination for AI-related tools and use cases. This role serves as a central point of integration across business, risk stakeholders, and technology, as well as acts as Chief of Staff to Enterprise AI. Responsibilities are, but not limited to: AI Governance Strategy and Oversight Provide subject matter expertise to evaluate AI tools and applications proposed by business teams, including architecture, model choices, data dependencies, and integration considerations. Maintain a working knowledge of AI technologies (e.g., large language models, AI-enabled applications, APIs, and data pipelines) to assess technical feasibility, risks, and appropriate use. Council Enablement and Delivery Management Serve as Chief of Staff to the Enterprise AI Governance Council, coordinating agendas, materials, and governance workflows. Prepare clear, decision-ready materials for Council review, including structured assessments of AI use cases, tools, and vendors. AI Risk Assessment and Use Case Governance Partner with business owners and service line leaders to evaluate AI use cases, with a focus on technical design, model behavior, data usage, implementation approach, and risk exposure. Identify, assess, and document key risks (including regulatory, privacy, reputational, and operational risks) and propose appropriate mitigation strategies. Project Management and Stakeholder Coordination Coordinate the governance review lifecycle for AI use cases, including intake, triage, review, and escalation where required. Manage timelines and dependencies across business and functional stakeholders to support efficient, well-documented evaluation and approval processes.

The ideal candidate must:

Have a bachelor's degree, preferably in information systems, computer science, data Analytics, risk management, business, or a related field. Have an advanced degree (preferred). Have 7+ years of progressive experience in technology, risk management, data governance, compliance, consulting, or related discipline. Have experience working at the intersection of business and technology. Possess strong understanding of AI technologies, data flows, functionality, and common AI risks. Possess strong knowledge of enterprise data environments and system integrations. Possess a working knowledge of risk management concepts with particular emphasis on data privacy, information security knowledge. Possess excellent written and verbal communication skills. Have strong stakeholder management and project delivery experience.