Microsoft Cloud & AI Solution Sales Specialist - Global FSI 

Taiwan, Taoyuan City 

241943314

• Proven experience in technology-related sales, business development, or account management experience OR
  A Bachelor’s Degree in Information Technology, Computer Science, Business, or related field combined with proven experience of technology-related sales or account management experience OR
  A Master’s Degree in Business Administration (MBA), Information Technology, or related field combined with proven experince of technology-related sales or account management experience.

Preferred Qualifications:

• Experience bridging technical depth with customer engagement, ideally having worked in both technical (solution engineering, architecting, development) and sales/business roles within Financial Services.
• Strong knowledge of cloud platforms (Azure preferred, AWS or Google Cloud a plus) and cross-solution integration across AI, Data, and Application Innovation.
• Familiarity with enterprise-scale AI solutions, data platforms, application modernization strategies, and security best practices.
• Track record of driving adoption and consumption of technology solutions in enterprise accounts.
  

• 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.