AI Adoption & Change Management Consultant

About the role

The AI Adoption & Change Management Consultant sits within the AI Center of Excellence and works with business leaders, functional teams, IT, HR, Communications, learning partners, and AI initiative owners to accelerate responsible adoption of AI capabilities across the enterprise. This role develops and executes AI-focused change management strategies that build awareness, readiness, confidence, and sustained usage of approved AI tools and solutions while supporting the Director of AI Adoption and Value Realization in measuring adoption, engagement, business value, and realized impact from AI investments. Job duties include contact with other employees and access confidential and proprietary information and/or other items of value, and such access may be supervised or unsupervised. The Company therefore has determined that a review of criminal history is necessary to protect the business and its operations and reputation and is necessary to protect the safety of the Company’s staff, employees, and business relationships. Position is not remote/hybrid and will report to our Cleveland Global Headquarters.

Responsibilities

• Manage a portfolio of AI change initiatives, including enterprise AI platforms, priority AI use cases, AI-enabled ways of working, and adoption programs requiring structured change management support.
• Create and execute AI change management plans tailored to audience, risk, readiness, and business impact, including stakeholder engagement, communications, training, reinforcement, adoption measurement, and value realization support.
• Partner with the Director of AI Adoption and Value Realization to define adoption and value measurement approaches for AI initiatives, including success metrics, baselines, targets, dashboards, feedback loops, and executive reporting inputs.
• Assess AI change readiness across stakeholder groups and translate insights into targeted interventions that improve awareness, confidence, responsible usage, behavior change, and sustained adoption.
• Support AI literacy, enablement, and self-service resources that help employees and leaders understand approved AI tools, responsible use expectations, practical use cases, and role-specific adoption opportunities.
• Collect, analyze, and publish