Microsoft Analytics AI Technology Specialist 

Germany 

941320572

Required/Minimum Qualifications:

• Solid experience in technical pre-sales or technical consulting
• 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:

• Understanding and practical hands-on implementation experience at the expert level in one of the 3 areas: Analytical Data Platforms, AI / GenAI Solution Development or Database Migrations
• Azure Certifications:Azure Data Engineer Associate (DP 203) or Enterprise Data Analyst Associate (DP 500) or Azure Cosmos DB Developer Specialty (DP 420) or equivalent industry certifications preferred.
• Competitive Landscape: Knowledge of Data, Analytics & AI platforms such as Snowflake, Databricks, MongoDB, AWS (Redshift), GCP Big query, Open AI, AWS Bedrock, Gemini, etc.
• Partners: Experience leveraging partner solutions to solve customer needs and scale opportunities.
• Experience creating AI and Analytics Proof of Concepts (PoC)/Pilots for customers ​that lead to production deployments.
• Collaborative:Works cohesively with customers, the Microsoft account team, and Microsoft partners. Helps others succeed by identifying and promoting innovative solutions and strategies.
• Excellent Communicator : Demonstrates executive presence, presentation skills, deep technical product demo abilities, written and verbal communication skills.
• Deep domain knowledge in Data & AI Platforms like Microsoft Fabric, Azure Data Explorer, Azure Databricks, Azure Data Factory, Power BI, Azure AI Studio, Azure OpenAI, Azure Cosmos DB, Purview etc. Hands-on experience working with the respective products at the expert level. 3+ years of hands-on programming experience (Scala, Python, SQL etc.)
• Relationship Building

Your Key Responsibilities:

• Lead technical discussionswith 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.
• Design the solutionusing 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 Data & 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 AI and Data services.
• Identify new opportunities within customer engagements.
• 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 Customerto share insights and best practices with Engineering, to remove key blockers and drive product improvements.
• Maintain and grow expertisein Data Modernization (AzureCosmos DB and Open Source DB), Analytics & Data warehousing scenarios (Azure Data Lake, Azure Synapse, Microsoft Fabric, 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 Data & AI scenarios and present Lessons Learned and Best Practices on Conferences and Customer Workshops or share them during Hackathons with our customers or technical community.
• 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.