Sr. Technical Specialist- Data & AI

Responsibilities

• Lead technical discussions with customers leveraging processes and tools, demos, and programs; using consultative sales methodology and technical expertise to understand the customer needs and demonstrate how Microsoft solutions can address them; establish rules of engagement (e.g., role boundaries, handoff strategies) for extended teams.
• Build technical strategy: map the agreed customer vision into a strategy, resolve concerns, prevent & remove technical blockers, validating proficient business case for investment and translated technology complexity into business impact. Work with the customer, account team, and partners to orchestrate a roadmap for implementation using Microsoft Analytics Governance (MAG) framework. Educate our customers on the NoSQL value proposition in general and particularly on Azure Cosmos DB.
• Drive technical assessments to create a map of the current landscape and to build the technical migration & modernization plans, thus building a solid business case.
• Design the solution using your technical knowledge, architectural approach, consultancy skills and our methodology to win a customer’s technical decision and meet the customer’s needs. Ensure technical decision makers agree with proposed architecture. Drive POCs/pilots to create momentum for MVPs, infusing key AI technologies where appropriate and being technically proficient to conduct and complete a POC with hands-on-skills. Articulate the end-to-end architecture, including both Apps and Data services (Azure Cosmos DB & OSS DB)
• Identify new opportunities within customer engagement.
• Be the Trusted advisor and use proactive effort to find and understand customers’ pain points, and design and offer solutions (with business case) to technical leaders.
• Be the Voice of Customer to share insights and best practices with Engineering, to remove key blockers and drive product improvements.
• Maintain and grow expertise in Data Modernization (Azure Cosmos DB and Open Source DB), Analytics & Data warehousing scenarios including Intelligent Data Platform (Azure SQL DW, Azure Data Lake, Azure Synapse Analytics/Azure Databricks, Power BI), and AI technologies (Azure OpenAI Services, Azure Cognitive Services, Azure Machine Learning) while keeping up to date with market trends and competitive insights; collaborate and share with the Data & AI technical community.
• Be an Azure platform evangelist for Analytics & Data Warehousing scenarios like modernizing your legacy Data Warehouse and migrating to the cloud, new Modern Data Warehousing deployments and end to end analytics solutions.
• Scale through partners, acting as liaison between the partner and account team and facilitating partner resources and processes; supporting partner technical capacity by identifying skill and resource gaps and providing feedback to internal teams.
• Develop customer technical skilling plan in collaboration with customer and account team.

Qualifications

• 8+ years technical pre-sales or technical consulting experience
• OR Bachelor's Degree in Computer Science, Information Technology, Engineering or related field AND 5+ years technical pre-sales or technical consulting experience
• OR relevant certifications from Microsoft or competitive platforms AND 3+ year(s) technical pre-sales or technical consulting experience
• OR equivalent experience.

Additional Or Preferred Qualifications

• Certification in relevant (Microsoft or industry) technologies or disciplines (e.g., Power BI, Azure Architect and Development exams, Cloud Platform Technologies, Information Security, Architecture).