Unstructured Data Sales Specialist – AI, Analytics

1 giorno fa

Pavia, Lombardy, Italia Hewlett Packard Enterprise Tempo pieno

Overview

In this hybrid Milan-based role, you drive growth as an Unstructured Data Sales Specialist across AI, analytics, cyber resilience, and data modernization. You'll build and own a qualified pipeline, engage senior stakeholders, and translate technical differentiation into measurable business outcomes. You'll collaborate with cross-functional teams to help customers modernize data architectures, accelerate AI initiatives, and improve resilience. This is a chance to shape data-driven transformations at scale with HPE's edge-to-cloud platform.

Retribuzione / Benefits

  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion

Responsabilità

  • Create and own qualified pipeline within strategic accounts and territories
  • Identify whitespace, displacement opportunities, and new use cases beyond storage refreshes
  • Develop opportunities across AI infrastructure, analytics, data lakes/lakehouse modernization, cyber resilience, and high-performance storage
  • Lead consultative discovery to understand customer business, data, and infrastructure challenges
  • Translate technical differentiation into outcomes like faster recovery, improved AI performance, and reduced complexity
  • Present a compelling value proposition and engage C-suite and senior stakeholders
  • Coordinate with account teams, Solution Architects, partners, ISVs, marketing, and product teams to close deals
  • Develop and execute competitive strategies against incumbents and emerging providers
  • Represent HPE at workshops, briefings, events, and partner engagements

Requisiti fondamentali

  • 7+ years of enterprise technology sales, specialist sales, or business development experience
  • Proven ability to create pipeline and close complex enterprise opportunities
  • Experience selling storage, data infrastructure, AI infrastructure, analytics, data protection, or related technologies
  • Strong consultative and value-based selling skills
  • Ability to translate architectures into clear business value
  • Experience selling disruptive technologies requiring customer education
  • Strong executive communication, storytelling, presentation, and negotiation skills
  • Willingness to travel for customer and partner engagements
  • Executive communication
  • Storytelling and negotiation
  • Collaborative mindset
  • AI infrastructure, inference and RAG
  • Analytics, data lakes and Lakehouse modernization
  • Enterprise file and object storage