Enterprise AI Strategy Director

The Director of Enterprise AI Strategy & Governance is a newly created strategic leadership role designed to establish and operationalize enterprise-wide AI governance while driving measurable business value from AI investments. This role serves as the operational engine of the GHX AI Governance Committee, owning the end-to-end process from intake and prioritization through deployment, risk management, and value realization.This position bridges technical expertise with business strategy, transforming fragmented AI adoption into a strategic capability aligned with enterprise priorities. The successful candidate will establish scalable governance frameworks that accelerate—not impede—innovation while ensuring compliance, security, and measurable ROI.Key ResponsibilitiesEnterprise AI Strategy & AlignmentOwn and evolve the enterprise AI strategy, ensuring alignment with organizational strategic priorities and business objectivesEstablish clear prioritization frameworks that balance innovation, risk, compliance, and ROIMaintain a comprehensive understanding of the AI technology landscape, emerging capabilities, and industry best practicesDevelop and maintain roadmaps connecting AI initiatives to measurable business outcomes and strategic deliverablesAI Governance & Risk ManagementDesign and implement standardized intake, evaluation, and approval processes for all AI tools and initiatives Lead AI governance operations using structured, value-based decision frameworks that replace ad-hoc committee approvalsRefine and enforce policies for AI usage, data handling, security, privacy, and deployment in cooperation with cross-functional stakeholdersProactively identify and mitigate shadow AI risks through discovery, assessment, and remediation Ensure all AI initiatives comply with regulatory requirements, industry standards, and responsible AI frameworks (NIST AI RMF, ISO 42001, EU AI Act, etc.)Maintain AI risk register, compliance dashboard, and audit-ready documentationOperational Execution & CoordinationCoordinate across business units and teams to identify high-impact AI opportunitiesManage AI project portfolio, ensuring appropriate capacity allocation, sequencing, and execution readinessFacilitate stakeholder discussions to gather requirements, assess feasibility, and business casesOversee use case lifecycle from intake through deployment and value measurementManage intake channels, create and assign tickets/requests, and track initiatives to closureContinuously improve governance processes, tools, and resources based on lessons learned and evolving needsLeadership, Communication & Change ManagementServe as primary liaison between AI Governance Committee, executive leadership, functional teams, and technology organizationsPresent to and coordinate effectively with cross-functional stakeholders, including C-suite executivesSet agendas, document decisions, and maintain action items for AI Governance Committee and working groupsDesign and facilitate training programs on AI governance, responsible AI use, and approved/prohibited toolsManage change effectively, securing buy-in from stakeholders and overcoming resistanceValue Measurement & Portfolio ReportingEstablish metrics and measurement frameworks for AI value realization (productivity gains, cost savings, efficiency improvements, risk reduction)Track and report on AI initiative outcomes, ROI, and progress against strategic objectivesProvide executive leadership with a consolidated portfolio view showing delivered value, active risks, dependencies, and resource tradeoffsDrive continuous improvement through post-implementation reviews and lessons learnedRequired QualificationsBachelor’s degree in computer science, Information Systems, Business Administration, or related field; master's degree strongly preferred8+ years of progressive experience in technology strategy, governance, or program management3+ years of hands-on experience with AI/ML technologies, tools, and deployment practicesDemonstrated experience establishing governance frameworks in complex organizationsTechnical & Domain KnowledgeStrong understanding of AI/ML concepts, large language models, generative AI, and enterprise AI platformsWorking knowledge of AI governance frameworks including NIST AI RMF, ISO 42001, OECD AI PrinciplesUnderstanding of data governance, privacy regulations (GDPR, CCPA), and security best practicesFamiliarity with AI risk types: bias/fairness, explainability, data privacy, security vulnerabilities, regulatory complianceKnowledge of enterprise technology landscapes, cloud platforms, and SaaS managementStrategic & Business CompetenciesExceptional strategic thinking with ability to translate business objectives into AI capabilitiesStrong business acumen and demonstrated ability to build business cases and ROI modelsExperience with portfolio management, prioritization frameworks, and resource optimizationTrack record of driving measurable business value from technology investmen