Unstructured Data Sales Specialist – AI, Analytics
Pubblicato il 23-10-2026 - Hewlett Packard Enterprise in Milano
Unstructured Data Sales Specialist – AI, Analytics & Cyber Resilience This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week 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: Role Overview HPE is seeking an experienced Unstructured Data Sales Specialist to drive growth across some of the fastest-growing areas of enterprise data infrastructure, including AI, analytics, cyber resilience, rapid recovery, and file/object modernization. This is a revenue-generating sales role for someone who can create demand, develop pipeline, open new opportunities, and sell emerging technologies. The ideal candidate combines strong enterprise selling skills with enough technical depth to understand customer challenges,
tell compelling technology stories, and connect differentiated capabilities to measurable business outcomes. Success in this role means more than responding to storage refreshes. You will help customers identify new ways to use their data, modernize legacy architectures, improve cyber resilience, accelerate AI and analytics initiatives, and simplify increasingly complex data environments.
Key Responsibilities Create and own qualified pipeline within assigned strategic accounts and territories.
Identify whitespace, competitive displacement opportunities, and new use cases beyond traditional storage refresh cycles.
Develop opportunities across: AI infrastructure, inference and RAG Analytics, data lakes and Lakehouse modernization
Cyber resilience and rapid recovery
Enterprise file and object storage
High-performance S3 and hybrid cloud data architectures
Lead consultative discovery to understand customer business, application, data, and infrastructure challenges.
Translate technical differentiation into outcomes such as faster recovery, improved AI performance, faster analytics, reduced infrastructure complexity, lower cost, and improved business agility.
Build a compelling why change, why now, why HPE value proposition.
Engage CIOs, CTOs, CISOs, data/AI leaders, infrastructure executives, architects, and application owners.
Partner with HPE