VP Enterprise AI Enablement

Ener Sys 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, Ener Sys 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/longterm 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.

The Vice President, Enterprise AI Enablement is accountable for defining, governing, and scaling Ener Sys' 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 Ener Sys' 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.

• Other duties may be assigned.
• Serve as Ener Sys' 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 Ener Sys 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…