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.

• 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 an 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

• 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 such as the EU AI Act and U.S. state regulations
• Lead documentation and audit readiness for internal and external examinations
• Partner with key stakeholders to conduct third‑party AI vendor evaluation processes, including model assessments, red‑team recommendations, security reviews, and risk ratings
• Partner with technical teams to evolve criteria for evaluating proprietary, open‑source, and commercial large language models or AI services

• Establish, track, and report key metrics for AI adoption, effectiveness, and business impact to stakeholders [SB1.1]
• Partner with stakeholders to evolve change‑management programs and continue to build on existing programs across business units to accelerate responsible AI adoption
• Embed governance processes into business workflows, technology pipelines, and product development life cycles
• In partnership with stakeholders, identify and drive process improvements, efficiency gains, and measurable ROI from AI initiatives
• Partner with business units and affiliates to ensure AI use cases align with strategic priorities, ethical standards, and operational readiness
• Own the annual AI business case(s), partnering with the PMO and Enterprise Portfolio Management on prioritization, funding decisions, and ongoing reporting

• Represent the enterprise at external conferences, industry forums, and as a thought leader in responsible AI governance
• Foster partnerships with external organizations (academia, vendors, industry groups) and internal cross‑functional teams to drive innovation and best practices
• Serve as a trusted advisor to executives on enterprise AI risk posture and governance maturity
• Support the development of AI talent, upskilling programs, and foster a culture of continuous learning
• Develop and deliver AI governance content and reporting for senior leadership and governance bodies, including the Audit & Risk Compliance Committee and the Board of Directors

• 8+ years’ related work experience in risk management, governance, compliance, AI/ML, data, or enterprise technology leadership…