This is an exiting role to demonstrate your digital first customer engagment as an Azure Data and AI sales specialist.
You have a fundamental understanding of customers' business to initiate conversations with customers on digital transformation in a single solution area, in collaboration with partners and services. Collaborates with account teams, partners, or services to track, qualify, and expand new opportunities. Identifies, develops, proposes, and articulates solutions that align with customer needs. Develops an understanding of external stakeholders' mapping. Implements strategies to help accelerate the closing of deals in collaboration with other team members. Collaborates with Global Partner Solutions (GPS) and with a network of partners to cross-sell, up-sell, and co-sell products, solutions and services. Applies the orchestration model to support deal closure. Researches competitor products, solutions, and/or services and collaborates with the "compete" global black belts (GBBs) to implement strategies to position Microsoft against competitors in customer communication. Manages and/or orchestrates sales and delivery success through the account team and pursuit team. Participates in rhythm-of-business (ROB) meetings to review and plan for accounts in the assigned territory. Collaborates with extended sales team, partners, and marketing to conduct business analysis to pursue high-potential customers and develop a target list of potential business. Manages the end-to-end business of the assigned territory.
Required/Minimum Qualifications
Additional or Preferred Qualifications:
· Solution sales or consulting services sales experience
Subject matter expertise in any of the following is preferred:
· SQL including OSS (Postgres, MySQL etc), Azure SQL
· NoSQL Databases including OSS (Maria, Mongo etc), Cosmos DB
· Big Data including SQL DW, Snowflake, Big Query, Redshift
· Advanced Analytics including Azure Data Bricks, visualization tools as PowerBI, Fabric, Tableau
· Data Governance
· Machine Learning including Azure ML, ML Server
· Competitive Landscape - Knowledge of cloud development platforms.
· Partners - Understanding of partner ecosystems and the ability to leverage partner solutions to solve customer needs.
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