VP Enterprise AI Enablement

EnerSys is a global leader in stored energy solutions for industrial applications. We have over thirty manufacturing and assembly plants worldwide servicing over 10,000 customers in more than 100 countries. Worldwide headquarters are located in Reading, PA, USA with regional headquarters in Europe and Asia. We complement our extensive line of Motive Power and Energy Systems with a full range of integrated services and systems. With sales and service locations throughout the world, and over 100 years of battery experience, EnerSys is the power/full solution for stored DC power products. What We’re Offering 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 Culture: We value and strive for excellence in all that we do through innovative technology by creating long lasting relationships with our stakeholders, co-workers, and customers. We continually strive to foster teamwork, engagement and enhance our employee’s skills and competence by providing appropriate training. Compensation Range: $275,000-$315,000 Compensation may vary based on applicant's work experience, education level, skill set, and/or location. 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 end‑to‑end, 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, 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. 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 EnerSys provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Know Your Rights Know Your Rights (Spanish) We use artificial intelligence to screen, assess and select applicants for open positions, including for the purposes of reviewing and ranking application materials and scoring answers to application questions. Accordingly, decisions about your application and eligibility for employment with EnerSys may be made based exclusively on the automated processing of the personal information that you submit in your application materials.