Director AI Governance & Business Integration

In this role, you will collaborate with teams across the enterprise to align AI initiatives with business goals and priorities, facilitate integration and collaboration, and identify opportunities for AI-driven solutions across the enterprise, its affiliates, and subsidiaries. You will also oversee management, and adoption of a Responsible AI framework, partner with stakeholders to establish policies, rules, and standards and have ownership of the enterprise AI inventory, including intake, tracking, and portfolio management of AI solutions. This strategic and cross-functional role requires deep expertise in emerging AI regulations, risk management, and responsible AI practices. You will help drive consistent standards across the company while enabling innovation to flourish safely. To succeed, you must be highly facilitative, able to build executive-level relationships, and exhibit focus and flexibility in driving business outcomes. Your goal will be to enable a well-integrated, strategically aligned Responsible AI ecosystem within the Enterprise. Key Responsibilities: AI Governance & Risk Management • Evolve and lead the enterprise AI Governance Framework, encompassing policies, standards, and operating mechanisms for responsible and compliant AI use, aligned with recognized frameworks such as the NIST AI Risk Management Framework and ISO/IEC 42001 • Develop and maintain AI risk management lifecycle, including risk taxonomies, assessment processes, and monitoring practices, aligned with regulatory expectations and enterprise risk appetite • Oversee AI inventory management, including registration, risk scoring, model lifecycle tracking, and compliance reporting, and operationalize governance through tools, automation, dashboards, and workflow integrations Regulatory & Ethical Compliance • Partner with Legal, Compliance, Privacy, Cybersecurity, and Audit to translate regulatory requirements into actionable enterprise processes to ensure adherence to evolving AI laws, including global regulatory frameworks (e.g., EU AI Act, U.S. state regulations, federal guidance) • Lead documentation and audit readiness for internal and external examinations • Partner with key stakeholders to conduct third-party AI vendor evaluation process, including model assessments, red-teaming recommendations, security reviews, and risk ratings • Partner with technical team to evolve criteria for evaluating proprietary, open-source, and commercial large language models or AI services