Enterprise AI Strategy Director

GHX

1d•Remote

About The Position

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.

Requirements

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 experience with AI/ML technologies, tools, and deployment practices
Demonstrated experience establishing governance frameworks in complex organizations
Strong understanding of AI/ML concepts, large language models, generative AI, and enterprise AI platforms
Working knowledge of AI governance frameworks including NIST AI RMF, ISO 42001, OECD AI Principles
Understanding of data governance, privacy regulations (GDPR, CCPA), and security best practices
Familiarity with AI risk types: bias/fairness, explainability, data privacy, security vulnerabilities, regulatory compliance
Knowledge of enterprise technology landscapes, cloud platforms, and SaaS management
Exceptional strategic thinking with ability to translate business objectives into AI capabilities
Strong business acumen and demonstrated ability to build business cases and ROI models
Experience with portfolio management, prioritization frameworks, and resource optimization
Track record of driving measurable business value from technology investments
Outstanding executive presence and communication skills; ability to influence leadership
Proven ability to coordinate and align diverse stakeholders
Strong project and program management capabilities with attention to operational detail
Change management expertise with the ability to drive adoption of new processes and tools
Collaborative leadership style that balances governance rigor with enabling innovation
Ability to work effectively in an ambiguous, fast-changing environment

Nice To Haves

Advanced degree such as an MBA, MS in Data Science, or related field
Professional certifications in AI governance, data governance, project management such as PMP, CISSP, and CDMP
Experience with AI governance platforms and tools like ModelOp, IBM watsonx.governance, and OneTrust
Prior experience in regulated industries, ideally, financial services, healthcare, or government
Background in consulting or transformation programs
Technical proficiency with scripting, data analysis, or AI development

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