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Microsoft Technology Specialist - Data & AI France, Ile-de-France 515745579
19.11.2024
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Required/Minimum Qualifications:
- Solid technical pre-sales or technical consulting experience.
- Experience from data team (e.g., Data Analyst or Data architect or Data Scientist).
- Master's OR Bachelor's Degree in Computer Science, Information Technology, or related field AND solid technical pre-sales or technical consulting experience OR equivalent experience.
- General understandings of Microsoft's data portfolio and the platform capabilities.
Additional Or Preferred Qualifications:
- Solid experience on AI platform with strong knowledge on Machine Learning, Vector database, new App architecture, RAG.
- Certification in relevant technologies or disciplines (e.g. AI-102).
- Experience from technical presales team from other data company.
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 a strong 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. Empower our customer on AI Discussion and drive conversation around AI Responsible topics.
- 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 AI scenarios.
- 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.
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