Cloud Solution Architect - Digital Transformation at Microsoft

Responsibilities

Main Responsibilities:

• Customer Centricity
• Customer Satisfaction - Drive positive Customer Satisfaction & become a trusted advisor.
• Customer Insights - Provide feedback & insights from customers.
• Business Impact
• Consumption (Cloud & Support) growth - Develop opportunities tdrive Customer Success business results & help Customers get value from their Microsoft investments.
• Resolution of Customer Blockers - Identify resolutions tCustomer blockers by leveraging Microsoft Cloud and professional subject matter expertise. Deliver according tMicrosoft Cloud and industry best practices and using repeatable Intellectual Property (IP)
• Technical Leadership
• Learn It All - Align individual skilling tteam/area demands & Customer Success goals
• Accelerate customer outcomes - Share expertise in relevant communities, contribute tIntellectual Property (IP) creation & re-use taccelerate customer outcomes.

Qualifications

Minimum Requirements:

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field
• Strong Customer facing Consulting experience in cloud/infrastructure technologies, information technology (IT), network operations, technology solutions.
• Extended experience and certification in Microsoft cloud technologies (Azure, M365, D365, or Power Platform), infrastructure technologies.
• Trusted Advisorship: The ability tbuild trusted advisor status and deep relationships across stakeholders (e.g., technical decision makers, business decision makers) through an understanding of customer needs and technologies.
• Commercial acumen: the ability tnetwork with internal stakeholders and build a portfoliof customers in order tbuild and maintain a healthy portfoliof customers and billable work.

Additional requirements:

• Drive People & Process: The ability tprepare the customer for operational readiness and long-term organizational adoption.
• Optimization: The ability tguide the customer towards solution cost and performance optimization leading tretention and expansion opportunities.