Microsoft Digital Solution Area Specialist 

Taiwan, Taoyuan City 

575848701

As a specialist, you will engage with customers, understand their business and technical challenges, and positionas the preferred platform for innovation and growth. This role requires a blend ofto drive Azure adoption and consumption.

• 8+ years of experience

• Customer Engagement & Solution Selling

  • Engage with customers to identify business needs and challenges related to data, application modernization, and AI .

  • Lead technical discussions and solution presentations to articulate Microsoft Azure’s value proposition effectively.

  • Develop proof-of-concepts (PoCs) and guide customers on their cloud journey.

• Technical Leadership & Innovation

  • Drive adoption of Azure Data & AI solutions , including Azure SQL, Synapse, Fabric, AI Services, OpenAI, and ML models .

  • Help customers modernize legacy applications using Azure App Services, Kubernetes, and Serverless computing .

  • Provide insights on data-driven decision-making and AI automation for enhanced business outcomes.

• Business Impact & Azure Growth

  • Identify opportunities to migrate, optimize, and scale workloads on Azure.

  • Work with sales and partner teams to increase Azure consumption and deliver business growth.

  • Develop customer success stories and references to showcase the impact of Microsoft’s AI and cloud solutions.

• Industry & Competitive Awareness

  • Stay updated on market trends, industry shifts, and competitive offerings (AWS, GCP, OCI, etc.) .

  • Position Microsoft’s differentiation by demonstrating best-in-class AI and cloud capabilities.

• Collaboration & Partner Ecosystem

  • Work closely with Microsoft’s partner ecosystem to drive joint go-to-market strategies.

  • Enable partners to deliver scalable solutions that align with Microsoft’s Cloud Adoption Framework .

• Governance, Security & Compliance

  • Ensure all solutions adhere to Microsoft’s security, compliance, and responsible AI guidelines.

  • Advocate for best practices in data governance, ethical AI, and cost optimization .