AI Adoption & Enablement Lead
AI summary of the role
Lead AI adoption and enablement for Quote-to-Cash transformation at HPE, driving change management, stakeholder engagement, and user readiness across complex cross-functional programs.
What you’ll do
- Own AI adoption and enablement strategy for Quote-to-Cash transformation initiatives
- Develop and manage change management plans, including stakeholder impact assessments and communication calendars
- Design and deliver role-based enablement programs and training materials
- Establish champion networks and communities of practice to drive adoption
What you’ll bring
- 8+ years overall experience, with at least 3+ years in change management or similar roles
- Prosci certification preferred
- Strong understanding of structured change management methods (Prosci, ADKAR)
- Experience designing and delivering enablement programs for diverse user groups
Technologies
Microsoft Teams · SharePoint · PowerPoint · Excel · Smartsheet · Microsoft Project · Jira · Azure DevOps
About Hewlett Packard Enterprise
Enterprise infrastructure company selling servers, hybrid cloud, storage, AI systems, and AI-native networking, differentiated by GreenLake consumption and Juniper/Aruba stack.
Public · 5000+ people
Source and classification
Deployment strategy · Evidence for this classification:
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, andHow jobs are selected
Employer postings · Data from · Sources