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Technology Specialist – Analytics & AI

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Microsoft

23d ago

  • Job
    Full-time
    Senior Level
  • Data
    IT & Cybersecurity
  • Berlin

AI generated summary

  • You need a degree in IT or related field, technical pre-sales experience, fluency in English or German, hands-on skills in analytics or AI solutions, and Azure certifications preferred.
  • You will lead technical discussions, design solutions, conduct POCs, identify opportunities, and develop customer skilling plans, while staying updated on Data & AI technologies and trends.

Requirements

  • Required/Minimum Qualifications:
  • * 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
  • * Several years of experience in technical pre-sales or technical consulting experience AND general understandings of Microsoft's data portfolio and the platform capabilities
  • * Fluency in English or German is required.
  • * You must be legally authorised to work in Germany to be eligible for this role. (Legally authorised = has citizenship or has been granted a valid visa or work permit)
  • Additional Or Preferred Qualifications
  • * Understanding and practical hands-on implementation experience at the medium level in one of the 2 areas: Analytical Data Platforms or AI / GenAI Solution
  • * 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.
  • * 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.
  • * 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. First Hands-on experience working with the respective products at the medium level.
  • * Relationship Building: Proven track record of building deep technical relationships with senior executives. Experience in managing various stakeholder relationships to get consensus on solution/projects. The ability to influence and build relationships across technical and business teams.

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.
  • 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 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 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 (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.

FAQs

What is the primary goal of the Technology Specialist – Analytics & AI role?

The primary goal is to win the technical decisions of customers to purchase and use Microsoft technology and cloud services, particularly for Data & AI scenarios and the Azure AI & Analytics platform.

What qualifications are required for this position?

A Master's or Bachelor's Degree in Computer Science, Information Technology, or a related field, along with solid technical pre-sales or consulting experience, is required. Candidates must also be legally authorized to work in Germany and have fluency in English or German.

What kind of experience is preferred for candidates applying for this job?

Preferred candidates should have practical hands-on implementation experience in either Analytical Data Platforms or AI/GenAI solutions and experience creating AI and Analytics Proof of Concepts (PoCs) for customers.

What specific technologies should candidates be familiar with?

Candidates should have domain knowledge in Data & AI Platforms such as Microsoft Fabric, Azure Data Explorer, Azure Databricks, Azure Data Factory, Power BI, Azure AI Studio, Azure OpenAI, Azure Cosmos DB, Purview, and relevant Azure certifications.

What are some key responsibilities of a Technology Specialist in this role?

Key responsibilities include leading technical discussions with customers, building technical strategies, designing solutions, conducting Proof of Concepts (PoCs), identifying new opportunities, and maintaining expertise in Data Modernization and AI technologies.

Is there an emphasis on collaboration in this position?

Yes, the role emphasizes collaboration with customers, the Microsoft account team, and Microsoft partners to identify and promote innovative solutions and strategies.

Will the Technology Specialist have opportunities to present insights or share best practices?

Yes, the Technology Specialist is expected to present lessons learned and best practices at conferences, customer workshops, and hackathons within the technical community.

What skills are crucial for success in this role?

Crucial skills include excellent communication abilities, collaboration with multiple stakeholders, deep technical product knowledge, and the ability to build strong relationships with senior executives.

Does Microsoft provide resources or support for continuous learning in this role?

Yes, the position offers opportunities to maintain and grow expertise in relevant technologies while keeping up to date with market trends and competitive insights.

What is Microsoft's approach to diversity and inclusion in the workplace?

Microsoft is an equal opportunity employer dedicated to creating a culture of inclusion where everyone can thrive, irrespective of various protected characteristics.

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Microsoft

Technology
Industry
10,001+
Employees
1975
Founded Year

Mission & Purpose

Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. When we show up, we achieve more together. Microsoft operates in 190 countries and is made up of more than 220,000 passionate employees worldwide.