Microsoft Cloud & AI Solution Sales Specialist - Health Industry 

Taiwan, Taoyuan City 

268645893

Required

• Working knowledge of Microsoft’s cloud offerings or Competitors’ related ecosystem
• Demonstrable experience selling complex cloud based solutions with particular focus on Data and AI services
• Possess both business acumen expertise and technology knowledge to connect how cloud computing can help an organisation achieve its business objectives

Additional or Preferred Qualifications (PQs)

• Experience working with the UKs Health Industry
• Sales Account Planning and Management: Understanding of opportunity pipeline management. Orchestrate and influence virtual sales/technical/support/partner teams to pursue sales opportunities
• Understanding of key infra-to-the-cloud workloads such as; Windows Server, SQL, SAP, HPC, Business Continuity Disaster Recovery (BCDR) data, App Modernisation, Security & hybrid cloud.
• Consumption Business Strategy / Project Management. Experience leveraging cloud adoption methodologies and frameworks to structure Datacentre and application migration projects.
• Understanding of partner ecosystems and the ability to leverage partner solutions to solve customer needs.
  Demonstrated passion and commitment for customer success

• Lead Strategic Customer Conversations: Engage executives, business leaders, and technical teams to understand their priorities and challenges, mapping them to Microsoft’s Cloud & AI solutions to deliver differentiated value.

• Accelerate AI and Cloud Adoption: Drive adoption of Azure services across AI, Data, and Application Innovation, activating solution plays such as“Modernize Applications,” “Empower AI Transformation,”and“Unlock Data Value at Scale.”

• Orchestrate Solution Delivery: Partner with Cloud Solution Architects, Specialists, and Partners to deliver demos, design sessions, and proof-of-value engagements that showcase Azure’s impact.

• Champion Secure and Responsible AI: Guide customers in implementing secure, compliant, and responsible AI practices, leveraging Microsoft tools like Azure AI, Azure Machine Learning, and Microsoft Responsible AI guidelines.

• Enable Data-Driven Decision Making: Help customers modernize their data estates, integrate advanced analytics, and deploy AI models to optimize decision-making and operational efficiency.

• Drive Business Outcomes with Application Innovation: Support customers in building and modernizing applications using Azure Kubernetes Service, serverless computing, and low-code/no-code capabilities.

• Pipeline & Opportunity Management: Identify and qualify opportunities, progressing them through the sales cycle by leveraging AI-driven insights and collaborating with partners for co-selling motions.

• Ensure Ongoing Customer Success: Monitor and guide adoption post-deployment, ensuring customers realize the full value of their Azure investments while driving renewals and expansion.

• Continuous Learning & Thought Leadership: Stay ahead of industry trends, competitive insights, and Microsoft innovations. Share best practices and mentor peers to raise overall team capability.