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 Responsibilities Enterprise AI Strategy Alignment Own and evolve the enterprise AI strategy, ensuring alignment with organizational strategic priorities and business objectives Establish clear prioritization frameworks that balance innovation, risk, compliance, and ROI Maintain a comprehensive understanding of the AI technology landscape, emerging capabilities, and industry best practices Develop and maintain roadmaps connecting AI initiatives to measurable business outcomes and strategic deliverables AI Governance Risk Management Design 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 approvals Refine and enforce policies for AI usage, data handling, security, privacy, and deployment in cooperation with cross-functional stakeholders Proactively 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 documentation Operational Execution Coordination Coordinate across business units and teams to identify high-impact AI opportunities Manage AI project portfolio, ensuring appropriate capacity allocation, sequencing, and execution readiness Facilitate stakeholder discussions to gather requirements, assess feasibility, and business cases Oversee use case lifecycle from intake through deployment and value measurement Manage intake channels, create and assign tickets/requests, and track initiatives to closure Continuously improve governance processes, tools, and resources based on lessons learned and evolving needs Leadership, Communication Change Management Serve as primary liaison between AI Governance Committee, executive leadership, functional teams, and technology organizations Present to and coordinate effectively with cross-functional stakeholders, including C-suite executives Set agendas, document decisions, and maintain action items for AI Governance Committee and working groups Design and facilitate training programs on AI governance, responsible AI use, and approved/prohibited tools Manage change effectively, securing buy-in from stakeholders and overcoming resistance Value Measurement Portfolio Reporting Establish 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 objectives Provide executive leadership with a consolidated portfolio view showing delivered value, active risks, dependencies, and resource tradeoffs Drive continuous improvement through post-implementation reviews and lessons learned Required Qualifications Bachelor’s degree in computer science, Information Systems, Business Administration, or related field; master's degree strongly preferred 8+ years of progressive experience in technology strategy, governance, or program management 3+ years of hands-on experi ... (truncated, view full listing at source)