AI Enablement Change Management Lead

Vertiv•Westerville, OH

About The Position

The AI Enablement Change Management Lead is responsible for leading the culture and people-side of artificial intelligence adoption across the enterprise. This role designs and executes change strategies that enable employees, leaders, and teams to effectively adopt, trust, and embed AI enabled ways of working. The role partners closely with AI, technology, data, business, HR, and communications teams to ensure AI initiatives deliver sustained value while aligning with ethical, cultural, and operational expectations. This role may also play a critical role at the plant level, bringing AI manufacturing solutions to life. This role requires experience, expertise and balance in both strategy and execution pull-through from intake thru adoption and partners closely with Vertiv senior executive leadership, IT leadership, business leaders, program teams, and functional stakeholders to ensure the AI ‘movement’ is understood, embraced, and embedded into daily operations and deliver measurable outcomes. The successful candidate is experienced and proficient in organizational change management frameworks (discovery thru execution), adoption plans and metrics, as well as AI standards of practice, application and industry trends. Key partnerships include Executive Leadership, IT, Global Process Owners, Sales, HR, Growth & Strategy, and others.

Requirements

Undergraduate Degree in Business Administration, Organizational Development, or a related field.
Master’s Degree in the above preferred.
7-10 years proven ability to lead large-scale, complex, global transformation initiatives in a fast-paced, matrixed organization driving strategy and execution from intake thru adoption/value realization.
Demonstrated experience supporting digital, data, or AI enabled transformations.
Proficiency and understanding of emerging trends and industry practices around all facets of AI in the workplace.
Consulting background working with a variety of clients and transformation initiatives desired.
Prosci certified.
Ability to influence across all levels of the organization.
Deep expertise in designing and implementing change strategies that deliver measurable business outcomes and align with organizational goals.
Advanced understanding of change management methodologies such as, but not limited to, Kotter, Prosci, ADKAR, as well as process improvement frameworks like LEAN/Six Sigma and Agile.
Strong ability to collaborate across all levels and with executive leadership, influence decision-making, and foster alignment across diverse teams and geographies.
Exceptional communication and interpersonal skills, with the ability to build trust, inspire collaboration, and navigate cultural and geographic diversity.
Experience in data-driven decision-making and leveraging analytics to guide strategy and measure success.
Certifications in project management (PMP), or process improvement (LEAN/Six Sigma) are highly desirable.
Experience navigating a global organization.

Nice To Haves

Experience supporting large-scale transformations, digital implementations, or operational change
Experienced user of AI tools, automation, and advanced analytics with proven ability to apply these in change management and digital transformation
Background in manufacturing, operations, or enterprise environments (strongly desired)
Strong understanding of workforce impact, reskilling, and human-AI collaboration models
Excellent executive presence with the ability to explain complex concepts simply

Responsibilities

Develop and lead enterprise-wide AI change and adoption strategies aligned to 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 leading 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 common 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; proactively 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