AI Adoption & Enablement Lead

About this role

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, value, impact, and responsible use of AI solutions in clear, compelling language for different audiences, including frontline users, managers, business sponsors, transformation teams, and senior leaders. • Define, monitor, and report adoption metrics, readiness indicators, training completion, usage trends, user sentiment, behavior-change signals, feedback themes, support needs, and benefit-realization inputs to evaluate whether AI solutions are being adopted and delivering intended business value. • Identify adoption barriers, resistance patterns, capability gaps, process concerns, user experience issues, and change risks early; work with delivery, UX, business, and leadership teams to recommend corrective actions, targeted interventions, additional enablement, or escalation where required. • Support leadership reviews, SteerCo forums, adoption governance meetings, transformation updates, and decision boards by preparing concise adoption summaries, readiness status, change risks, user feedback, training progress, success stories, and recommended decisions or actions. • Capture and communicate user stories, measurable outcomes, lessons learned, testimonials, adoption insights, and examples of improved ways of working to build confidence in AI-enabled transformation and support broader organizational momentum. • Drive continuous improvement in adoption and enablement practices by standardizing reusable templates, playbooks, governance rhythms, feedback loops, communication patterns, training assets, and measurement approaches across AI Q2C initiatives. • Provide guidance, coaching, and mentoring to workstream leads, change representatives, trainers, and less-experienced team members to strengthen change management discipline, stakeholder engagement, communication quality, and outcome-based adoption execution.

Education and Experience Required: • First level university degree or advanced degree preferred. • Overall experience of 8+ years of which at least 3+ years of experience in change management or in like roles/businesses. • Prosci Certified preferred

Knowledge, Skills, and Competencies: • Extensive experience in change management, adoption strategy, enablement, learning and development, transformation communications, or business readiness for complex cross-functional programs involving multiple stakeholder groups, business functions, and delivery teams. • Strong understanding of structured change management methods such as Prosci, ADKAR, or similar frameworks, with the ability to apply these methods pragmatically to enterprise transformation, digital workflow change, AI solution adoption, and operational behavior change. • Demonstrated ability to create and manage adoption artifacts such as stakeholder impact assessments, change plans, communication calendars, training plans, readiness checklists, persona maps, champion network plans, adoption dashboards, feedback logs, and reinforcement plans. • Experience designing and delivering enablement programs for diverse user groups, including role-based learning journeys, user guides, manager toolkits, office hours, demos, FAQs, process playbooks, and other learning assets that support practical usage and su

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