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Job Purpose

The Vice President, Enterprise AI Enablement is accountable for defining, governing, and scaling EnerSys' enterprise artificial intelligence strategy and execution model to drive measurable business value, competitive advantage, and workforce transformation. This role owns the enterprise AI operating model endtoend, transitioning from external advisory support to a fully embedded, internally led capability and ensures AI is effectively integrated into EnerSys' global business strategy, digital platforms, risk framework, and talent agenda.

Reporting to the CIO, the VP is the enterprise owner for AI governance, investment prioritization, value realization, and adoption. The role will work shoulder-to-shoulder with the Executive Leadership Team (ELT), line of business presidents, and functional leaders (IT, Data, Cybersecurity, Legal, HR, Finance, Operations, and Commercial teams) to align strategy, remove barriers, and scale solutions across regions.

Essential Duties and Responsibilities

Other duties may be assigned. 
   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, multiyear 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.

AI Operating Model, Governance & Investment Management
   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.

Portfolio Leadership & Value Realization
   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.

Enterprise Execution & Cross Functional Orchestration
   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.

Change Leadership, Talent & Adoption
   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.

Organization & Leader 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.

Qualifications

Experience & Qualifications
   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.

Core Leadership Competencies
   Enterprise leadership and executive influence
   Strategic portfolio and investment management
   Governance, risk, and ethical AI stewardship
   Change leadership and workforce enablement
   Strong business and financial acumen
   Ability to operate with ambiguity and drive results at scale
   Highly collaborative, relationship-driven leadership style with strong stakeholder management, facilitation, and conflict-resolution skills
   Executive communication excellence: ability to synthesize complex topics into concise narratives, decision memos, and compelling change messages
 

TRAVEL REQUIRED - May be significant at times