Director of Enterprise AI Adoption

Responsibilities

• Develop and own the enterprise AI adoption strategy aligned with SupplyHouse's business objectives and long-term growth plans.
• Identify high-impact AI use cases across procurement, operations, sales, customer service, and finance, and prioritize based on ROI and feasibility.
• Serve as the primary internal authority on enterprise AI tools, platforms, and best practices including large language models, agentic workflows, and AI-powered analytics.
• Monitor the AI technology landscape and advise executive leadership on emerging opportunities and risks.
• Design and execute enterprise-wide change management programs grounded in proven methodologies to drive sustained, high-quality AI adoption across all levels and functions.
• Act as a culture carrier for AI transformation championing a mindset of curiosity, continuous learning, and responsible experimentation throughout the organization.
• Build internal champions, AI ambassadors, and center-of-excellence structures to scale AI literacy and usage across every business unit.
• Create training curriculum, playbooks, and role-based enablement programs to upskill employees on AI tools and workflows at every level, from frontline staff to senior leadership.
• Create psychological safety around AI adoption by proactively addressing employee concerns about job displacement, skill gaps, and the pace of change positioning AI as a tool that augments human capability rather than replaces it.
• Partner closely with the Human Resources team to embed AI competency into hiring profiles, onboarding programs, performance frameworks, and career development pathways.
• Lead executive communications, all-hands presentations, and town halls related to AI strategy, adoption milestones, and organizational impact.
• Identify and mitigate human-side risks of AI adoption including change fatigue, resistance patterns, and inequitable access to enablement resources across teams.
• Partner with department heads across IT, Operations, Human Resources, Legal, and Finance to embed AI into core business processes.
• Collaborate with the IT and Data Engineering teams to ensure secure, compliant, and scalable AI infrastructure.
• Manage relationships with external AI vendors, consultants, and technology partners.
• Coordinate with Legal and Compliance teams to establish responsible AI governance policies, data privacy standards, and risk frameworks.
• Define KPIs and success metrics for AI adoption initiatives and report progress to the C-suite and Board as needed.
• Establish feedback loops and continuous improvement processes to optimize AI tool performance and user experience.
• Build business cases and ROI models to justify AI investments and scale successful pilots enterprise-wide.
• Build and lead a high-performing team of AI program managers, analysts, and change agents.
• Foster a culture of experimentation, curiosity, and responsible innovation within the team and across the organization.

Requirements

• Bachelor's degree in a related field.
• 10+ years of progressive experience in technology strategy, digital transformation, or enterprise software adoption.
• 5+ years in a leadership or director-level role with demonstrated experience managing cross-functional programs.
• Hands-on experience with enterprise AI/ML tools.
• Proven track record of designing and executing large-scale change management programs in complex organizations.
• Exceptional executive communication and presentation skills; ability to translate technical concepts for non-technical stakeholders.
• Strong analytical mindset with experience building business cases and measuring technology ROI.