Manager, AI Enablement & Adoption

Vertiv Group•Westerville, OH

About The Position

The Manager, AI Enablement & Adoption leads the people and culture side of enterprise AI adoption. 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 initiatives with ethical, cultural, and operational expectations. The role may also help bring AI manufacturing solutions to life at the plant level. This position combines strategy with execution, guiding initiatives from intake through adoption. It works closely with senior executive and IT leadership, business leaders, program teams, and functional stakeholders to support understanding and adoption of AI across daily operations and to achieve measurable outcomes. Key partnerships include Executive Leadership, IT, Global Process Owners, Sales, HR, and Growth & Strategy. Travel may be up to 25% domestically and internationally. Success is measured by sustained adoption and effective use of AI solutions across the enterprise, leader and employee confidence in AI-enabled work, reduced resistance and faster realization of AI business value, and alignment between AI strategy, culture, and employee experience.

Requirements

Undergraduate degree in Business Administration, Organizational Development, or a related field.
7–10 years of experience leading large-scale, complex, global transformation initiatives in a fast-paced, matrixed organization, from intake through adoption and value realization.
Demonstrated experience supporting digital, data, or AI-enabled transformations.
Proficiency in and understanding of emerging trends and industry practices across AI in the workplace.
Prosci certification.
Ability to influence across all levels of an organization.
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.
Strong communication and interpersonal skills, including building trust, inspiring collaboration, and navigating 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.
Certifications in project management (PMP) or process improvement (LEAN/Six Sigma).
Experience supporting large-scale transformations, digital implementations, or operational change.
Experienced user of AI tools, automation, and advanced analytics, with 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.
Executive presence and 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 related to role impact, ethics, data privacy, and decision transparency.
Define adoption and value-realization metrics for 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 AI change standards, playbooks, and best practices.