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VP Enterprise AI Enablement

Artificial IntelligenceArtificial IntelligenceFull TimeRemoteLeadTeam 5,001-10,000H1B SponsorCompany SiteLinkedIn

Location

Alabama + 45 moreAll locations: Alabama | Arizona | California | Colorado | Connecticut | District Of Columbia | Florida | Hawaii | Idaho | Illinois | Iowa | Kansas | Kentucky | Louisiana | Maine | Montana | Nebraska | Nevada | New Hampshire | New Jersey | New Mexico | New York | North Carolina | North Dakota | Ohio | Oklahoma | Oregon | Maryland | Massachusetts | Michigan | Minnesota | Mississippi | Missouri | Pennsylvania | Rhode Island | South Carolina | South Dakota | Tennessee | Texas | Utah | Vermont | Virginia | Washington | West Virginia | Wisconsin | Wyoming

Posted

50 days ago

Salary

$275K - $315K / year

Seniority

Lead

Bachelor Degree10 yrs expEnglishCyber SecurityERP

Job Description

VP Enterprise AI Enablement

EnerSys

• 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 aligned with growth, productivity, quality, safety, and risk objectives. • 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, implement, and continuously evolve the enterprise AI operating model, including governance forums, funding and intake processes, prioritization methods, and decision rights. • Chair and run the Executive AI Steering Committee, ensuring disciplined decision making, clear accountability, and execution follow through; set agendas, align key stakeholders, and communicate decisions and actions clearly. • Establish enterprise standards for responsible AI, data usage, security, privacy, and risk management in partnership with Legal, Cybersecurity, IT Architecture, HR, and Compliance. • Own AI investment governance, ensuring alignment with capital planning, transformation funding, and enterprise portfolio priorities. • Own the global AI use case portfolio and prioritization framework, balancing short term value delivery with long term strategic capability building. • Ensure AI initiatives progress efficiently from ideation to pilot to scaled production—eliminating “pilot only” stagnation. • Define, track, and report enterprise AI value metrics, including operational efficiency, cost reduction, quality improvement, risk mitigation, revenue enablement, and customer impact. • Regularly recalibrate the AI roadmap based on realized outcomes, business performance, and evolving priorities. • Orchestrate cross-functional delivery across IT, data, digital platforms, business units, and external partners—creating shared plans, clear ownership, and fast decisions. • Resolve enterprise level dependencies and escalations impacting delivery, adoption, or value realization by facilitating trade-off discussions, aligning decision makers, and driving timely, documented outcomes. • Ensure AI initiatives are integrated with core enterprise platforms (ERP, data environment, digital products) rather than delivered as isolated solutions. • Build scalable execution playbooks, delivery standards, and reusable components to accelerate adoption across regions and functions. • Partner with HR and Communications to lead enterprise-wide change management, AI literacy, and workforce enablement. • Sponsor AI capability building, including training programs, citizen developer models, communities of practice, and leadership education. • Drive cultural adoption by positioning AI as a core business capability embedded in how work gets done—not as a technology experiment. • Support workforce transformation planning, including role evolution, ethical considerations, and future skills development. • Build, lead, and develop a high performing enterprise AI organization with clear roles, succession, and career paths. • Set performance expectations, accountability, and development plans for direct and indirect reports. • Foster a strong culture of accountability, collaboration, and execution discipline across the AI ecosystem.

Job Requirements

  • 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, aligning multiple functions and regions to deliver shared outcomes.
  • Demonstrated success partnering with executive leaders and Boards on investment, governance, and transformation outcomes.
  • Demonstrated ability to influence senior stakeholders, facilitate tough trade-offs, 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

  • 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

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