Artificial Intelligence

• Contribute to the strategic oversight and optimization of competitive intelligence and AI-enabled research capabilities.
• Support the Enterprise Strategy team's research tool ecosystem by partnering with the Lead Director.
• Act as the SME and product owner of the team’s knowledge management system (Crayon).
• Organize requirements and work with vendors on new features, oversee utilization reporting, and identify ways to leverage platforms for research needs.
• Partner closely with Strategy leaders and external vendors to align tool capabilities with evolving business needs.

Senior Manager – Market Intelligence, AI Technology Platforms

• 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.

VP, Enterprise AI Enablement

• Own end-to-end delivery for multiple enterprise customer engagements
• Partner with customers' C-level executives on AI strategy and transformation
• Lead one or more concurrent implementations, ensuring projects are delivered within budget and timeline outlined
• Manage timelines, risks, and cross-functional coordination for smooth delivery

Engagement Manager, AI Practice

• Own the full AI engagement arc from discovery through sustained workflow adoption
• Drive requirements and delivery precision to track against plans and surface risks early
• Champion continuous quality through testing and feedback loops during AI engagements
• Hold the R&D feedback loop accountable to ensure field learnings flow back
• Build playbooks to identify reusable patterns and scalable frameworks for the team
• Own engagement economics and track cost structure across active engagements
• This is a field-first role with expected travel to partner locations

AI Engagement Manager

• designing, building, and shipping AI‑powered products and platforms
• embedding strong technology risk and control foundations from day one
• hands‑on engineering, integrating, and hardening modern AI stacks
• defining how AI products are built, deployed, and scaled safely across Fidelity

AI Technology Risk Engineer

• Lead one or more AI solution deployments concurrently, including Workday AI products and acquired solutions
• Own end-to-end delivery execution, ensuring on-time, on-budget, and high-quality implementations
• Partner with Consulting, Product, and Customer AI teams to triage and resolve issues related to model performance
• Present at Executive Steering Committees, providing transparency on AI risks
• Support pre-sales activities as requested
• Coach and mentor Workday and partner resources in AI deployment practices
• Contribute to the ongoing evolution of the Workday AI Delivery Framework
• Facilitate the transition from deployment to steady-state operations

Artificial Intelligence jobs in Rhode Island

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Senior Manager – Market Intelligence, AI Technology Platforms

VP, Enterprise AI Enablement

Engagement Manager, AI Practice

AI Engagement Manager

AI Technology Risk Engineer

Senior Engagement Manager, AI Solutions Delivery