Data Strategist for Cloud Adoption

4 giorni fa


Milano, Lombardia, Italia Microsoft A tempo pieno

Empowering innovation and growth through cutting-edge data solutions, you will be at the forefront of Microsoft's mission to make a lasting impact. Our company culture is built on embracing a growth mindset, inspiring excellence, and fostering collaboration among teams and leaders.

As an Azure Data & AI Sales Specialist, you will drive the adoption and growth of our cloud platform and solutions, working closely with customers, partners, and internal teams to deliver exceptional results. You'll play a key role in empowering organizations to make informed decisions, drive innovation, and transform their businesses through advanced projects.

About the Role

You will collaborate with technical specialists and architects, partners, and consulting resources to advance the sales process and achieve/exceed quarterly revenue and usage/consumption targets in assigned accounts. As a solution sales expert within our enterprise sales organization, you will work with our most important customers on their data strategy and the modernization of their data estate.

Responsibilities include:

  • Sales Execution: Engage in conversations with customers aligned to their industry, collaborate with account and partner teams to drive and qualify new opportunities, and build pipeline.
  • Identify customer business needs and technology readiness, contribute to the development of solutions in collaboration with internal teams, partners, and services, and propose prioritized solutions that align with customers' needs.
  • Sales Excellence: Collaborate with partners and resources, leverage customer insights or industry knowledge, and contribute to exploring business and emerging opportunities to optimize the portfolio and support customer innovation.

We're looking for a skilled professional with technical passion and good understanding of cloud architectural patterns leveraging managed data & AI services or platform-as-a-service offerings. A strong knowledge of state-of-the-art analytics, data warehouse, AI, and their trends is essential. Ability to translate complex technology concepts into business value for customer C-level executives is also required.



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