Skills Analyst Lead

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

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.

HPE is seeking an experienced Skills Analyst and thought leader to drive HPE’s enterprise skills strategy across technical and non‑technical roles, with a strong focus on how AI, automation, and digital agents are reshaping work. This role leads role and skills mapping at scale and influences how skills are defined, governed, and applied across the organization to enable data‑driven talent decisions today and prepare the workforce for what’s next.

Positioned within the Learning & Development organization, this role connects skills intelligence to workforce planning, learning strategy, career pathways, and talent mobility. The role partners closely with business leaders, HR, and IT to ensure skills data remains relevant in a rapidly evolving environment, particularly as AI accelerates role change, creates new capabilities, and shifts proficiency expectations.

• Deconstruct complex technical and non‑technical roles into clear, observable, future‑relevant skills, including skills emerging from AI, automation, and human‑machine collaboration
• Define skills at the right level of precision (foundational, working, advanced, expert), balancing usability with scalability and avoiding unnecessary complexity
• Lead enterprise role‑to‑skills mapping across job families, levels, career paths, and learning programs, ensuring alignment with business strategy and workforce priorities
• Own and continuously evolve the enterprise skills taxonomy, including skills, certifications, and proficiency models, incorporating emerging and obsolescent skills driven by AI and technology shifts
• Partner with Workforce Management, HRIS, Business Units, Global Functions, and IT to embed skills into end‑to‑end talent systems and platforms, shaping how skills enable workforce planning, learning recommendations, mobility, and skills‑based decisions
• Assess and interpret skills data to identify capability gaps, adjacencies, readiness risks, and future skill demand signals, translating insights into executive‑ready recommendations
• Serve as a trusted advisor to senior leaders on skills strategy, including how AI and automation are changing role design, proficiency expectations, and capability investments
• Establish and sustain governance standards to ensure consistency, quality, and relevance across skills frameworks, data sources, and tools
• Produce high‑quality deliverables including role‑based skill profiles, skills architectures, skills matrices, and strategic insights for executive and enterprise audiences
• Continuously test, learn, and evolve the skills approach as job architectures, technologies, and workforce models change
• Perform other responsibilities as the scope and maturity of HPE’s skills strategy evolves
• Leads multiple large projects and programs with global and cross‑organizational program teams
• Develops strategy for projects and programs that significantly impact multiple businesses.
• Ensures alignment of program priorities with business and L&D strategies.
• Stays abreast of current market or technology trends, provides thought leadership, and consults on areas of expertise throughout the organization.

• First level university degree (Business, Human Resources, Organizational Development, Information Systems, Data Analytics), advanced university degree preferred or…