VP, Enterprise AI Enablement

EnerSys

Vice President of Enterprise AI Enablement at EnerSys overseeing artificial intelligence strategy and execution. Driving business value through AI initiatives across a global organization.

Posted 6/24/2026full-timeAnytown • Alabama, Arizona, California, Colorado, Connecticut, District of Columbia, Florida, Hawaii, Illinois, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Minnesota, Mississippi, Missouri, Montana, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming • 🇺🇸 United StatesLead💰 $275,000 - $315,000 per yearWebsite

About the role

Key responsibilities & impact

Serve as EnerSys’ executive leader and single point of accountability for enterprise AI strategy, execution, and outcomes.
Translate enterprise and business strategies into a clear, multi‑year AI vision and roadmap.
Advise the CIO, ELT, and Board on AI trends, risks, opportunities, and competitive implications.
Represent EnerSys externally with strategic AI partners, technology providers, and industry forums.
Design and implement the enterprise AI operating model, including governance forums and funding processes.
Establish enterprise standards for responsible AI, data usage, security, privacy, and risk management.
Own AI investment governance, ensuring alignment with capital planning and transformation funding.
Own the global AI use case portfolio and prioritization framework.
Define, track, and report enterprise AI value metrics.
Orchestrate cross-functional delivery across IT, data, and business units.
Partner with HR to lead enterprise-wide change management and AI literacy initiatives.
Build, lead, and develop a high performing enterprise AI organization with clear roles.

Requirements

What you’ll need

10+ years of experience leading enterprise scale transformation, digital programs, or technology enabled business initiatives.
Proven executive experience building and operating enterprise-level capabilities in a global environment.
Demonstrated success partnering with executive leaders and Boards on investment, governance, and transformation outcomes.
Demonstrated ability to influence senior stakeholders and communicate clearly across technical and non-technical audiences.
Strong background working with consulting and technology partners and transitioning ownership into sustainable internal operating models.
Deep exposure to AI, advanced analytics, automation, or data driven platforms in complex, regulated, or industrial environments.
Manufacturing, industrial, or global operating model experience is strongly preferred.

Benefits

Comp & perks

Paid time off plus paid holidays
Medical/dental/vision insurance plan
Life insurance, short/long term disability, tuition reimbursement, flex spending, and employee stock purchase plan
401K plan

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI strategyenterprise AI operating modeldata usagerisk managementAI value metricsdigital transformationadvanced analyticsautomationdata driven platformsgovernance

Soft Skills

leadershipcommunicationinfluencechange managementcollaborationstrategic thinkingstakeholder engagementorganizational developmentcross-functional deliveryproblem solving