Azure Global Black Belt (GBB) Cloud & AI Data Specialist at Microsoft

📍 Job Overview

Job Title: Azure Global Black Belt (GBB) Cloud & AI Data Specialist
Company: Microsoft
Location: Multiple Locations, United Kingdom & Germany
Job Type: Full-Time
Category: Data & AI Specialist - Cloud & AI
Date Posted: August 12, 2025
Experience Level: Mid-Senior level (5-10 years)
Remote Status: On-site & Hybrid (Remote OK)

🚀 Role Summary

Drive Azure Data & AI Services adoption among Microsoft's largest customers, focusing on MACC accounts.
Build trust and guide Chief Data Officers (CDOs) in establishing data foundations for their companies' AI transformation.
Document best practices and learnings from CDO engagements and influence the broader field on successful strategies.
Collaborate cross-functionally with Microsoft's Commercial Solution Areas and Support Services to power the Microsoft Cloud.

📝 Enhancement Note: This role requires a strong understanding of both cloud technologies and data analytics, as well as exceptional customer engagement and influencing skills.

💻 Primary Responsibilities

Engage with CDOs of large Microsoft accounts and complex competitive situations to understand their data needs and AI transformation goals.
Develop and execute sales strategies to drive Azure Data & AI Services adoption, focusing on MACC accounts.
Document best practices and learnings from CDO engagements and share them with the broader field to improve customer success.
Collaborate with Microsoft's CSA and Support Services to provide customers with comprehensive solutions and support.
Stay up-to-date with the latest Azure Data & AI Services developments and industry trends to provide informed guidance to customers.

📝 Enhancement Note: This role involves a significant amount of customer-facing work, requiring excellent communication and presentation skills.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Data Science, or a related field. An advanced degree would be an asset.

Experience: Proven experience (5-10 years) in data analytics, cloud computing, or a related field. Experience working with CDOs and navigating complex competitive situations is essential.

Required Skills:

Strong knowledge of Azure Data & AI Services
Experience with data analytics tools and methodologies
Proven sales or customer engagement experience
Excellent communication, presentation, and influencing skills
Ability to build and maintain strong customer relationships
Strong analytical and problem-solving skills
Experience with competitive analysis and best practice documentation

Preferred Skills:

Experience with AI and machine learning technologies
Familiarity with Microsoft's Commercial Solution Areas and Support Services
Knowledge of multiple industries and their data needs
Experience with account management and customer success

📝 Enhancement Note: Candidates with experience in data-driven sales strategies and customer success will have a significant advantage in this role.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Case Studies: Prepare case studies demonstrating your experience in driving Azure Data & AI Services adoption and guiding CDOs in AI transformation.
Customer Success Stories: Highlight your ability to build and maintain strong customer relationships by sharing success stories from your previous roles.
Competitive Analysis: Showcase your competitive analysis skills by presenting a well-researched and structured analysis of a key competitor's data strategy.

Technical Documentation:

Sales Strategies: Document your sales strategies for driving Azure Data & AI Services adoption, focusing on MACC accounts.
Best Practices: Prepare a comprehensive document outlining best practices for engaging with CDOs and guiding their AI transformation.
Customer Engagement Plans: Develop detailed customer engagement plans for your target CDO accounts, outlining your approach to understanding their data needs and driving Azure Data & AI Services adoption.

📝 Enhancement Note: Tailor your portfolio to demonstrate your unique value proposition in driving Azure Data & AI Services adoption and guiding CDOs in AI transformation.

💵 Compensation & Benefits

Salary Range: €80,000 - €120,000 per year (based on experience and location)

Benefits:

Comprehensive health benefits package
Competitive retirement savings plans
Generous vacation and time-off policies
Employee stock purchase plan
Employee discounts on Microsoft products and services
Opportunities for professional development and career growth

Working Hours: Full-time position with standard working hours, with flexibility for customer engagement and project deadlines.

📝 Enhancement Note: Microsoft offers a competitive benefits package, including health benefits, retirement savings plans, and generous vacation policies. The salary range provided is based on industry standards for data and AI specialists in the United Kingdom and Germany.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology & Software Development

Company Size: Large (200,000+ employees)

Founded: 1975

Team Structure:

Global Black Belt (GBB) Team: A specialized team focused on driving Azure Data & AI Services adoption and guiding CDOs in AI transformation.
Commercial Solution Areas (CSA) & Support Services: Cross-functional teams providing comprehensive solutions and support to Microsoft's customers.

Development Methodology:

Agile: Microsoft uses Agile methodologies to drive customer success and innovation.
Customer-Centric: Microsoft prioritizes customer needs and feedback in its development processes.
Collaboration: Microsoft fosters a culture of collaboration and teamwork across its global organization.

Company Website: Microsoft Careers

📝 Enhancement Note: Microsoft is a large, global technology company with a strong focus on customer success and innovation. The company's culture is collaborative and customer-centric, with a strong emphasis on driving customer value through its products and services.

📈 Career & Growth Analysis

Web Technology Career Level: Senior Data & AI Specialist - Cloud & AI

Reporting Structure: This role reports directly to the Global Black Belt Team Lead and collaborates with Microsoft's CSA and Support Services teams.

Technical Impact: This role has a significant impact on Microsoft's customers' AI transformation and data strategy, driving Azure Data & AI Services adoption and guiding CDOs in their data and AI initiatives.

Growth Opportunities:

Promotion to Team Lead or Manager: Proven success in driving Azure Data & AI Services adoption and guiding CDOs can lead to leadership roles within the Global Black Belt team or broader Microsoft organization.
Specialization in Emerging Technologies: Staying up-to-date with the latest AI and machine learning technologies can open up opportunities for specialization and further career growth.
Expansion into New Markets: As Microsoft continues to expand its global presence, there may be opportunities for this role to grow into new markets and regions.

📝 Enhancement Note: This role offers significant growth opportunities for candidates with a strong track record in driving Azure Data & AI Services adoption and guiding CDOs in AI transformation.

🌐 Work Environment

Office Type: On-site and hybrid (Remote OK)

Office Location(s):

Multiple locations in the United Kingdom
Multiple locations in Germany

Workspace Context:

On-site: Microsoft's offices are designed to foster collaboration and innovation, with state-of-the-art facilities and amenities.
Remote: Microsoft supports remote work with comprehensive remote work policies and tools to ensure productivity and work-life balance.

Work Schedule: Standard full-time working hours with flexibility for customer engagement and project deadlines.

📝 Enhancement Note: Microsoft offers a flexible work environment, with on-site and hybrid (Remote OK) options, and a strong focus on work-life balance.

📄 Application & Technical Interview Process

Interview Process:

Phone Screen: A brief phone call to discuss your experience and qualifications for the role.
Technical Deep Dive: A detailed discussion of your experience with Azure Data & AI Services, data analytics, and customer engagement strategies.
Customer Engagement Simulation: A role-play exercise simulating an engagement with a CDO to assess your customer engagement and influencing skills.
Final Interview: A meeting with the Global Black Belt Team Lead and other stakeholders to discuss your fit for the role and Microsoft's organization.

Portfolio Review Tips:

Case Studies: Prepare case studies demonstrating your experience in driving Azure Data & AI Services adoption and guiding CDOs in AI transformation.
Customer Success Stories: Highlight your ability to build and maintain strong customer relationships by sharing success stories from your previous roles.
Competitive Analysis: Showcase your competitive analysis skills by presenting a well-researched and structured analysis of a key competitor's data strategy.

Technical Challenge Preparation:

Azure Data & AI Services: Brush up on your knowledge of Azure Data & AI Services, including the latest developments and features.
Customer Engagement Strategies: Prepare a well-structured and persuasive customer engagement strategy for a hypothetical CDO account.
Competitive Analysis: Research and prepare a competitive analysis of a key competitor's data strategy, focusing on their strengths, weaknesses, and opportunities.

ATS Keywords:

Cloud: Azure, Microsoft Cloud, Data Platform, AI Platform
Data Analytics: Data Foundations, AI Transformation, Data Strategy, CDO Engagement
Customer Engagement: Sales Strategy, Technical Sales, Customer Success, Influencing
Competitive Analysis: Competitive Landscape, Best Practices, Winning Formulas

📝 Enhancement Note: The interview process for this role is designed to assess your technical expertise in Azure Data & AI Services, as well as your customer engagement and influencing skills. Tailor your portfolio and interview preparation to demonstrate your unique value proposition in driving Azure Data & AI Services adoption and guiding CDOs in AI transformation.

🛠 Technology Stack & Web Infrastructure

Cloud Platform: Microsoft Azure

Data & AI Services:

Azure Data Services: Azure SQL Database, Azure Cosmos DB, Azure Data Lake, Azure Databricks
Azure AI Services: Azure Machine Learning, Azure Cognitive Services, Azure Bot Service

Development & DevOps Tools:

Azure DevOps: Azure Pipelines, Azure Boards, Azure Artifacts
Version Control: Git
Collaboration: Microsoft Teams, Office 365

📝 Enhancement Note: This role requires a strong understanding of Microsoft Azure's data and AI services, as well as the tools and platforms used for collaboration and development within Microsoft's organization.

👥 Team Culture & Values

Web Development Values:

Customer Obsessed: Microsoft prioritizes customer needs and feedback in its development processes.
One Microsoft: Microsoft fosters a culture of collaboration and teamwork across its global organization.
Growth Mindset: Microsoft encourages continuous learning and development among its employees.
Inclusive: Microsoft values diversity and inclusion, fostering a culture where everyone can thrive.

Collaboration Style:

Cross-functional: Microsoft's teams work closely together to provide comprehensive solutions and support to customers.
Customer-centric: Microsoft prioritizes customer needs and feedback in its development processes.
Agile: Microsoft uses Agile methodologies to drive customer success and innovation.

📝 Enhancement Note: Microsoft's culture is collaborative, customer-centric, and focused on driving customer value through its products and services. The company encourages a growth mindset and values diversity and inclusion.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Azure Data & AI Services Adoption: Driving Azure Data & AI Services adoption among Microsoft's largest customers, focusing on MACC accounts.
CDO Engagement: Building trust and guiding CDOs in establishing data foundations for their companies' AI transformation.
Competitive Landscape: Navigating complex competitive situations and developing winning formulas for successful CDO engagements.

Learning & Development Opportunities:

Azure Data & AI Services: Staying up-to-date with the latest developments and features in Azure Data & AI Services.
Customer Engagement: Developing and refining customer engagement strategies to drive Azure Data & AI Services adoption and guide CDOs in AI transformation.
Industry Knowledge: Expanding your knowledge of multiple industries and their data needs to provide informed guidance to customers.

📝 Enhancement Note: This role presents significant technical challenges and learning opportunities for candidates with a strong track record in driving Azure Data & AI Services adoption and guiding CDOs in AI transformation.

💡 Interview Preparation

Technical Questions:

Azure Data & AI Services: Prepare for in-depth questions about Azure Data & AI Services, including their features, use cases, and best practices.
Customer Engagement: Brush up on your customer engagement strategies and be prepared to discuss your approach to building and maintaining strong customer relationships.
Competitive Analysis: Research and prepare a competitive analysis of a key competitor's data strategy, focusing on their strengths, weaknesses, and opportunities.

Company & Culture Questions:

Microsoft's Organization: Familiarize yourself with Microsoft's organization, including its CSA and Support Services teams, and be prepared to discuss how you would collaborate with them to drive customer success.
Customer-centric Culture: Prepare for questions about Microsoft's customer-centric culture and how you would leverage it to drive Azure Data & AI Services adoption and guide CDOs in AI transformation.
Growth Mindset: Be ready to discuss your approach to continuous learning and development, and how you would apply a growth mindset to this role.

Portfolio Presentation Strategy:

Case Studies: Prepare case studies demonstrating your experience in driving Azure Data & AI Services adoption and guiding CDOs in AI transformation.
Customer Success Stories: Highlight your ability to build and maintain strong customer relationships by sharing success stories from your previous roles.
Competitive Analysis: Showcase your competitive analysis skills by presenting a well-researched and structured analysis of a key competitor's data strategy.

📝 Enhancement Note: The interview process for this role is designed to assess your technical expertise in Azure Data & AI Services, as well as your customer engagement and influencing skills. Tailor your portfolio and interview preparation to demonstrate your unique value proposition in driving Azure Data & AI Services adoption and guiding CDOs in AI transformation.

📌 Application Steps

To apply for this Azure Global Black Belt (GBB) Cloud & AI Data Specialist position:

Submit your application through the Microsoft Careers website.
Tailor your resume to highlight your experience with Azure Data & AI Services, data analytics, and customer engagement strategies.
Prepare your portfolio with case studies, customer success stories, and competitive analysis, demonstrating your ability to drive Azure Data & AI Services adoption and guide CDOs in AI transformation.
Research Microsoft's organization and be prepared to discuss how you would collaborate with its CSA and Support Services teams to drive customer success.
Prepare for the interview process by brushing up on your knowledge of Azure Data & AI Services, customer engagement strategies, and competitive analysis.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development industry-standard assumptions. All details should be verified directly with Microsoft's hiring organization before making application decisions.

Azure Global Black Belt (GBB) Cloud & AI Data Specialist