Full-Time

AI Adoption & Enablement Lead

Updated on 9/4/2026

Hewlett Packard Enterprise

Hewlett Packard Enterprise

10,001+ employees

Sells enterprise hardware, software, and services

Compensation Overview

$92.6k - $213.5k/yr

+ Variable incentives

San Jose, CA, USA + 1 more

More locations: Spring, TX, USA

In Person

Primarily work from an HPE office.

Bachelor's

Category
Business & Strategy (1)
Required Skills
SharePoint
Microsoft Azure
JIRA
Data Analysis
Excel/Numbers/Sheets
PowerPoint/Keynote/Slides

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Requirements
  • A first-level university degree is required.
  • At least 8 years of overall experience, including at least 3 years of experience in change management or similar roles or businesses.
  • Extensive experience in change management, adoption strategy, enablement, learning and development, transformation communications, or business readiness for complex cross-functional programs.
  • Strong understanding of structured change management methods such as Prosci, ADKAR, or similar frameworks, and the ability to apply them to enterprise transformation, digital workflow change, AI solution adoption, and operational behavior change.
  • Experience creating and managing 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, demonstrations, frequently asked questions, process playbooks, and other learning assets.
  • Ability to translate complex AI, process, technology, and transformation topics into clear, audience-specific messages.
  • Strong storytelling and executive communication capability, including creating leadership updates, adoption summaries, SteerCo materials, change narratives, success stories, and decision points.
  • Strong stakeholder management, facilitation, and influencing skills, including managing resistance, aligning competing priorities, facilitating workshops, engaging change champions, and building consensus across matrixed teams.
  • 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, including understanding 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.
  • Experience 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.
  • Ability to operate effectively in a large matrixed organization with ownership, sound judgment, attention to detail, proactive follow-through, and discipline across planning, execution, communication, reinforcement, and outcome tracking.
  • Strong coaching and mentoring capability for workstream leads, trainers, change representatives, and less-experienced team members.
Responsibilities
  • Own and lead the AI adoption and enablement strategy for Quote-to-Cash transformation initiatives.
  • Translate AI transformation priorities into practical adoption roadmaps covering impacted users, process changes, behavior shifts, readiness milestones, risks, communications, learning activities, and reinforcement.
  • Partner with business leaders, product owners, PMO, UX designers, technology teams, process owners, operations stakeholders, data teams, change champions, and external partners throughout ideation, design, pilot, launch, stabilization, and scaled deployment.
  • Develop and manage change management plans, including stakeholder impact assessments, 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, including learning journeys, user guides, process playbooks, training materials, demonstrations, frequently asked questions, office hours, adoption clinics, manager briefings, knowledge articles, and reusable content.
  • Establish and sustain champion networks, super-user communities, peer-learning groups, and communities of practice.
  • Create targeted communications and storytelling assets explaining the purpose, value, impact, and responsible use of AI solutions to different audiences.
  • 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.
  • Identify adoption barriers, resistance patterns, capability gaps, process concerns, user experience issues, and change risks, and recommend corrective actions or interventions.
  • Support leadership reviews, SteerCo forums, adoption governance meetings, transformation updates, and decision boards with adoption summaries, readiness status, risks, feedback, training progress, success stories, and recommendations.
  • Capture and communicate user stories, measurable outcomes, lessons learned, testimonials, adoption insights, and improved ways of working.
  • Standardize reusable templates, playbooks, governance rhythms, feedback loops, communication patterns, training assets, and measurement approaches across AI Quote-to-Cash initiatives.
  • Provide guidance, coaching, and mentoring to workstream leads, change representatives, trainers, and less-experienced team members.
Desired Qualifications
  • An advanced degree is preferred.
  • Prosci certification is preferred.
  • Direct experience supporting AI, automation, or workflow transformation programs is preferred.
Hewlett Packard Enterprise

Hewlett Packard Enterprise

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HPE delivers enterprise IT solutions across cloud, AI, and edge computing for large organizations. It combines hardware, software, and services, with consumption-based options via HPE GreenLake and container management with HPE Ezmeral, plus Aruba networking. It differs by offering an integrated on-premises and edge-enabled stack with flexible pay-as-you-go models and active open-source engagement. Its goal is to help customers accelerate digital transformation with scalable, secure IT infrastructure across data centers, cloud, and edge.

Company Size

10,001+

Company Stage

IPO

Headquarters

Houston, Texas

Founded

1939

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Simplify Jobs

Simplify's Take

What believers are saying

  • Fiscal Q3 2026 revenue hit $12.2 billion, up 34%, with record backlog and margins.
  • Networking revenue jumped 75% in fiscal Q3 2026, driven by routers, switching, and AI demand.
  • HPE raised FY2026 guidance after Q3, signaling momentum through 2027 enterprise AI infrastructure spending.

What critics are saying

  • August 2026 court approval forced Instant On divestiture and Mist AI licensing, weakening Juniper synergies.
  • Integration fallout and 2025-2027 restructuring cut 2,500 jobs, disrupting sales and engineering execution.
  • If Oracle or hyperscaler orders slow, HPE’s networking-led valuation collapses before Juniper integration pays off.

What makes Hewlett Packard Enterprise unique

  • HPE’s July 2025 Juniper acquisition created a broader AI networking stack than Cisco rivals.
  • GreenLake and Alletra tie storage, cloud, and operations into one enterprise procurement relationship.
  • Oracle’s September 2026 collaboration gives HPE rare exposure to giga-scale AI infrastructure buildouts.

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Benefits

Health Insurance

Flexible Work Hours

Hybrid Work Options

Professional Development Budget

Wellness Program

Growth & Insights and Company News

Headcount

6 month growth

10%

1 year growth

10%

2 year growth

10%
Yahoo Finance
Sep 9th, 2026
Dell raises AI server outlook to $74B as HPE posts record results

Dell Technologies and Hewlett Packard Enterprise both reported record quarterly results driven by surging AI server demand. Dell's fiscal Q2 revenue jumped 58% year-over-year to $46.97 billion, whilst adjusted earnings per share soared 203% to $7.04. AI-optimised server revenue doubled to $16.4 billion. The company raised its fiscal 2027 revenue guidance to $192 billion and now expects adjusted EPS of $25.50. HPE's fiscal Q3 revenue rose 34% to a record $12.21 billion. Adjusted EPS climbed to $1.11 from $0.44 a year earlier. Server revenue increased 35% to $6.8 billion, whilst networking revenue surged 75% to $2.9 billion. HPE raised its full-year revenue growth forecast to 34%-37% and adjusted EPS guidance to $3.75-$3.85.

Yahoo Finance
Sep 8th, 2026
HPE grants Oracle 4M shares at $0.01 each to lock in AI network revenue

Hewlett Packard Enterprise granted Oracle warrants to purchase over 4 million shares at one penny each, linking Oracle's data centre buildout to HPE's networking revenue. The arrangement functions as a capital expenditure subsidy, binding Oracle's infrastructure spending to HPE's equity valuation. HPE's stock fell roughly 5% following cautious supply chain commentary during its earnings call, despite networking revenue rising 75% and routing revenue jumping 270% year-over-year. The warrant block is valued near $200 million. The structure incentivises Oracle to direct volume through HPE's Juniper pipeline rather than alternative providers, effectively converting a major customer into a vested stakeholder. Heavy institutional ownership in both companies, including California State Teachers Retirement System and UBS AM, reinforces the strategic partnership.

The Register
Sep 8th, 2026
HPE Alletra Storage MP B10000 R6 unifies block and file workloads with independent scaling

HPE's Alletra Storage MP B10000 Release 6, announced in May, is now generally available. The platform combines block and file storage on a single disaggregated scale-out architecture, allowing independent scaling of performance and capacity with native ransomware detection across both workload types. The B10000 uses a "shared-everything" architecture that separates compute from capacity, eliminating the need to purchase fixed controller-and-media increments. Release 6 extends this model across block and adjacent file workloads whilst maintaining a common operating environment and management plane. The platform includes AI-driven operations through HPE Data Services Cloud Console. Agentic Support Automation continuously analyses operational behaviour to detect anomalies and help drive remediation before issues escalate. HPE was recently named a Leader in the 2026 Gartner Magic Quadrant for Enterprise Storage Platforms.

Yahoo Finance
Sep 7th, 2026
Dell margins surge to 15% while HPE warns of AI squeeze despite record revenue

Dell and Hewlett Packard Enterprise both reported record revenue and raised guidance, yet investors rewarded Dell whilst punishing HPE. The divergence came down to margins under rising memory costs. HPE posted a 34% revenue increase and record 40% gross margin, but management warned margins would moderate as AI systems expand and memory shortages persist through 2027. The stock fell after hours. Dell raised full-year revenue guidance to $192 billion and demonstrated expanding margins, with its server division's operating margin jumping from 8.8% to 15% despite climbing memory prices. Management sharply raised EPS guidance, and shares surged. Following the moves, Dell now trades at a forward P/E of 20.17x versus HPE's 23.15x. Dell's earnings are expected to jump 151% in fiscal 2027.

Yahoo Finance
Sep 3rd, 2026
HPE CEO: AI demand 'exceptional,' but supply chain can't keep up

Hewlett Packard Enterprise CEO Antonio Neri told Yahoo Finance that AI demand remains "exceptional" but supply chain constraints are limiting revenue growth. HPE's networking business saw orders grow three and a half times faster than revenue, whilst traditional server orders increased 75% year over year but only delivered 35% revenue growth. Neri echoed Nvidia CEO Jensen Huang's recent comments about supply constraints hampering stronger results. The bottlenecks stem from wafer capacity and clean room yields. HPE expects some improvement in clean room operations, but Neri said the supply issues will persist until wafer capacity increases to meet demand. The company anticipates exceptional demand continuing through 2027 and beyond, driven by infrastructure build-out requiring 270 gigawatts between now and 2030.