AI Adoption & Enablement Lead

  

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

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 m