Microsoft Azure Data & AI Specialist 

China, Hong Kong, Hong Kong Island 

325826457

As an Azure Data&AI Specialist covering our key accounts in enterprise segement, you will be a solution sales within our business, leading a virtual team of technical, partner and consulting resources to advance the sales process and achieve/exceed quarterly Azure revenue and usage/consumption targets in your assigned accounts. You will be a trusted advisor and a infrastructure subject matter expert with core capability and expertise in Database migration and modernization, Data Warehouse, AI, etc., with Cloud economics.

You will work with customers to help them achieve their business priorities and help guide customer’s journey through Data&AI modernization. You will help customers evaluate their applications and business requirements, recommend solutions that meet their requirements and demonstrate these solutions to win the technical decision. You will need to support customers to remove roadblocks to deployment and drive customer satisfaction. You will help our customers take advantage of our unique platform and leading infrastructure solutions to realize the value of digital transformation.

• Engages in conversations with customers to introduce how our workloads could enable digital transformation areas that is aligned with the customer's industry. Initiates conversations with customers on digital transformation in a solution area, in collaboration with partners and services. Shares learning on digital transformation through seminars, workshops, webinars, and direct engagement.
• Collaborates with team members to discover new opportunities. Drives incremental revenue growth through personal campaigns (e.g., portfolio analysis) or internal sources (e.g., Marketing). Collaborates with account teams, architects, partners, or services to track and qualify new opportunities. Collaborates with other teams (e.g., account teams) and services to build pipeline. Interfaces with customers and builds relationships via social selling. AppliesMicrosoft Customer Engagement Methodology(MCEM) to determine the quality of the opportunity and whether to proceed.
• Identifies opportunities to drive consumption and grow business with existing customers by initiating conversations, providing demos or quotes, and collaborating with partners or internal teams (e.g., Technical Sales Professionals, Global Black Belts). For licensing transactions and project engagements, ensures rapid and robust deployment plan at point of sale that is validated by services and partners.
• Identifies customer business needs and technical readiness. Collaborates with internal teams, partners, and services to propose prioritized solutions that align with customers' needs. Leverages the value propositions to communicate business impact of proposed solutions. Listens to customers to understand business outcomes.
• Develops an understanding of external stakeholders' mapping, including who the decision makers and influencers are. Participates with account teams (e.g., Account Executives) in communication with business or subject matter decision makers at the customer's/partner's business.
• Implements strategies to help accelerate the closing of deals in collaboration with other team members. Implements close plans (e.g., how to map timeline, engage the customer, get customer buy-in and commitment) to de-risk and drive predictable deal closure.
• Effective territory/account management: planning, opportunity qualification and creation, analysis, value engineering, services/partner engagement, opportunity management, pipeline management and deal negotiation.
• Problem Solver. Ability to solve customer problems through cloud technologies.
• Business Value. Ability to utilize tools such as the Azure Pricing Calculator, Azure ROI Tool, and Azure TCO Tool to generate consumption project cost estimates and demonstrate Cloud economic value to customers, is preferable.
• Collaborative. Orchestrate and influence virtual teams to pursue sales opportunities and lead v-teams through influence.