AI Enablement Change Management Lead

Vertiv•Westerville, OH

About The Position

The AI Enablement Change Management Lead leads the culture and people side of artificial intelligence adoption across the enterprise. The role designs and executes change strategies that help employees, leaders, and teams adopt, trust, and embed AI-enabled ways of working. It partners with AI, technology, data, business, HR, and communications teams to support sustained value while aligning AI initiatives with ethical, cultural, and operational expectations. The role may also support AI manufacturing solutions at the plant level. The position combines strategy and execution, from intake through adoption, and partners with senior executive leadership, IT leadership, business leaders, program teams, and functional stakeholders to embed AI into daily operations and deliver measurable outcomes. The successful candidate is proficient in organizational change management frameworks, adoption plans and metrics, and AI standards of practice, applications, and industry trends. Key partnerships include Executive Leadership, IT, Global Process Owners, Sales, HR, Growth & Strategy, and others. The role requires upwards of 25% domestic and international travel.

Requirements

Undergraduate degree in Business Administration, Organizational Development, or a related field.
7–10 years of proven ability to lead large-scale, complex, global transformation initiatives in a fast-paced, matrixed organization, driving strategy and execution from intake through adoption and value realization.
Demonstrated experience supporting digital, data, or AI-enabled transformations.
Proficiency and understanding of emerging trends and industry practices across facets of AI in the workplace.
Prosci certification.
Ability to influence across all levels of the organization.
Deep expertise designing and implementing change strategies that deliver measurable business outcomes and align with organizational goals.
Advanced understanding of change management methodologies such as Kotter, Prosci, and ADKAR, and process improvement frameworks such as LEAN/Six Sigma and Agile.
Ability to collaborate across organizational levels and with executive leadership, influence decision-making, and foster alignment across diverse teams and geographies.
Exceptional communication and interpersonal skills, including the ability to build trust, inspire collaboration, and navigate cultural and geographic diversity.
Experience in data-driven decision-making and using analytics to guide strategy and measure success.
Experience navigating a global organization.

Nice To Haves

Master’s degree in Business Administration, Organizational Development, or a related field.
Consulting background working with a variety of clients and transformation initiatives.
Project management certification (PMP) or process improvement certification (LEAN/Six Sigma).
Experience supporting large-scale transformations, digital implementations, or operational change.
Experienced user of AI tools, automation, and advanced analytics, with the ability to apply them in change management and digital transformation.
Background in manufacturing, operations, or enterprise environments.
Strong understanding of workforce impact, reskilling, and human-AI collaboration models.
Excellent executive presence and the ability to explain complex concepts simply.

Responsibilities

Develop and lead enterprise-wide AI change and adoption strategies aligned with business outcomes.
Translate AI capabilities into clear impacts on roles, workflows, decision-making, and behaviors.
Ensure change approaches reflect responsible AI principles, employee experience, and workforce readiness.
Partner with executive sponsors, product owners, and functional leaders to drive AI adoption.
Coach leaders and managers on guiding teams through AI-enabled change and new ways of working.
Build change champion networks to support local adoption and feedback loops.
Design and deliver AI-focused communications that build understanding, trust, and transparency.
Partner with Learning & Development to define enablement, training, and upskilling strategies.
Address concerns such as role impact, ethics, data privacy, and decision transparency.
Define adoption and value-realization metrics specific to AI solutions.
Monitor sentiment, resistance, and readiness, and implement mitigation strategies.
Support sustainment by embedding AI usage into processes, performance expectations, and culture.
Integrate change activities into AI product, platform, and program delivery lifecycles.
Partner with HR, Legal, Risk, and Compliance to align change strategies with governance and policy requirements.
Contribute to evolving AI change standards, playbooks, and best practices.