AI Adoption & Enablement Lead

Hewlett Packard Enterprise•Spring, TX

20h•$92,600 - $213,500•Onsite

About The Position

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.

Requirements

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
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 sustained adoption.
Excellent written and verbal communication skills, with the ability to translate complex AI, process, technology, and transformation topics into clear, audience-specific messages for frontline users, managers, senior leaders, business sponsors, and cross-functional partners.
Strong storytelling and executive communication capability, including the ability to create concise leadership updates, adoption summaries, SteerCo materials, change narratives, success stories, and decision points that clearly communicate progress, risks, user impact, and required actions.
Strong stakeholder management, facilitation, and influencing skills, with the ability to build trust, manage resistance, align competing priorities, facilitate workshops, engage change champions, and build consensus across matrixed business, technology, operations, and leadership teams.
Analytical mindset with the ability to define adoption KPIs, measure training effectiveness, interpret usage data, assess readiness, identify adoption barriers, synthesize user feedback, and connect change-management insights to business outcomes and benefit realization.
Business transformation acumen with the ability to understand end-to-end Quote-to-Cash or similar enterprise processes, operational pain points, user personas, workflow changes, stakeholder needs, and the impact of AI, automation, data, and digital tools on ways of working.
Working knowledge of AI-enabled solution delivery, responsible AI adoption, digital transformation, process redesign, user experience considerations, change reinforcement, and experience-led delivery; direct experience supporting AI, automation, or workflow transformation programs is preferred.
Experience working with collaboration, planning, and communication tools such as Microsoft Teams, SharePoint, PowerPoint, Excel, Smartsheet, Microsoft Project, Jira, Azure DevOps, learning platforms, survey tools, or similar systems used to manage change activities, training, feedback, and reporting.
Ability to operate effectively in a large matrixed organization with limited ambiguity, demonstrating ownership, sound judgment, attention to detail, proactive follow-through, and the discipline to maintain momentum across planning, execution, communication, reinforcement, and outcome tracking.
Strong coaching and mentoring capability, with the ability to guide workstream leads, trainers, change representatives, and less-experienced team members in adoption planning, stakeholder engagement, communication quality, and measurable change execution.

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.