AI Q2C Experience Program Management Office Lead
Hewlett Packard Enterprise
- Location
- Spring Texas United States of America
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 167 approvals (FY2023)
- Posted
- 19h ago
About this role
AI Q2C Experience Program Management Office 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 maintain the integrated AI Q2C transformation roadmap across use cases, workstreams, delivery teams, business functions, and stakeholder groups, ensuring clear alignment between strategic priorities, delivery milestones, and expected business outcomes. Lead portfolio-level program planning and execution governance for AI-enabled Quote-to-Cash initiatives, including schedule creation, milestone management, cross-functional dependency tracking, resource planning, budget signals, and prioritization of critical deliverables. Establish and operate a disciplined PMO cadence across SteerCo forums, leadership reviews, decision boards, working sessions, and cross-functional governance meetings to ensure timely decision-making, transparent progress reporting, and accountability across teams. Create and manage executive-ready program dashboards, RAID logs, dependency maps, action trackers, decision logs, and benefit-realization scorecards that provide leadership with clear visibility into delivery health, risks, blockers, and value creation. Coordinate activities across business architects, product owners, technology teams, data teams, operations leaders, adoption/change leads, and external partners to ensure AI initiatives move from ideation through pilot, industrialization, adoption, and scaled deployment in a controlled and measurable way. Monitor program performance against schedule, scope, budget, resourcing, adoption, and value targets; analyze delivery data and business information to recommend corrective actions, re-prioritization, or escalation where required. Identify and manage cross-program dependencies, overlaps, bottlenecks, stakeholder conflicts, and execution risks across the Q2C ecosystem, ensuring issues are surfaced early and resolved through structured governance and leadership engagement. Partner with leadership and functional stakeholders to define KPI frameworks that measure delivery progress, operational impact, user adoption, experience improvement, productivity gains, and long-term benefits realization. Develop concise leadership communications, executive summaries, SteerCo materials, program narratives, and decision points that clearly communicate progress, risks, trade-offs, and required actions to senior stakeholders. Drive continuous improvement in PMO practices, program operating rhythms, reporting standards, and governance mechanisms, incorporating automation, analytics, and AI-enabled ways of working where appropriate to improve execution efficiency. Providing guidance, coordination, and mentoring to workstream leads and less-experienced team members to strengthen delivery discipline, stakeholder management, program planning, and outcome-based execution.
Education and Experience
Required: First level university degree; Advanced degree preferred. Overall experience of 12+ years of at least 6+ years of experience in program management or in like roles/businesses. PMP Certified preferred. Knowledge, Skills, and Competencies: Extensive program and portfolio management experience, with the