AI Adoption & Enablement Lead

AI Adoption & Enablement Lead

AI Adoption & Enablement Lead This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.

Who We Are

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description

Responsibilities

• Own and lead the AI adoption and enablement strategy for Quote-to-Cash transformation initiatives, ensuring every AI use case, pilot, and scaled deployment has a clear change approach, defined stakeholder engagement model, user readiness plan, communication strategy, training path, and measurable adoption outcome.
• Translate AI transformation priorities into practical adoption roadmaps that define impacted user groups, business process changes, role-level behavior shifts, readiness milestones, adoption risks, communications touchpoints, learning activities, and reinforcement mechanisms required to drive sustained usage.
• Partner closely with business leaders, product owners, PMO, UX designers, technology teams, process owners, operations stakeholders, data teams, change champions, and external partners to embed adoption requirements from ideation through design, pilot, launch, stabilization, and scaled deployment.
• Develop and manage comprehensive change management plans, including stakeholder impact assessments, persona-based engagement plans, change networks, communications calendars, readiness checklists, training schedules, manager toolkits, feedback mechanisms, and adoption measurement frameworks.
• Design and deliver role-based enablement programs that may include learning journeys, user guides, process playbooks, training materials, demos, FAQs, office hours, adoption clinics, manager briefings, knowledge articles, and reusable content that helps users understand, trust, and consistently apply AI-enabled workflows.
• Establish, activate, and sustain champion networks, super-user communities, peer-learning groups, and communities of practice to accelerate awareness, reinforce new ways of working, surface user feedback, and create local advocacy for AI-enabled process change.
• Create targeted communications and storytelling assets that explain the purpose,