[Hiring] Director, Global Black Belt @Microsoft

Role Description

We are looking for a Director, Global Black Belt (GBB) to lead Americas high-performing AI+Data team of technical sales and solution leaders focused on accelerating customer adoption of Microsoft’s AI platform and driving some of our most strategic and complex customer transformations.

• Combine deep technical and market understanding with exceptional customer leadership, business acumen, and organizational leadership.
• Build and develop a world-class GBB team.
• Engage directly with executive customers.
• Partner closely with Sales, Engineering, Product, Customer Success, and Partners.
• Turn lessons from strategic engagements into repeatable approaches that can scale across Microsoft.

Responsibilities

• Lead Customer AI Transformation
  • Engage with senior business and technology executives to shape their cloud and AI strategy.
  • Lead the technical strategy for Microsoft's most strategic and complex AI opportunities.
  • Develop a deep understanding of customers' business priorities, technology landscapes, regulatory requirements, and industry dynamics.
  • Help customers reimagine applications and business processes around generative AI, agents, data, and cloud platforms.
  • Act as a trusted advisor to customers navigating emerging technology choices.
• Accelerate Microsoft Cloud & AI Adoption
  • Drive adoption and consumption of Microsoft's Cloud & AI Platforms through high-impact customer engagements.
  • Translate Microsoft's product innovation into compelling customer scenarios.
  • Help remove barriers preventing customers from moving AI solutions into production.
  • Partner with account teams to identify opportunities and develop technical strategies.
  • Maintain strong focus on measurable customer outcomes and sustainable platform consumption.
• Lead and Develop a World-Class GBB Team
  • Attract, develop, and retain exceptional technical and business talent.
  • Build an organization with deep technical expertise and strong customer instincts.
  • Coach leaders and individual contributors to operate effectively with senior customer executives.
  • Create a leadership bench and actively develop future Microsoft leaders.
  • Foster a culture of customer obsession, technical depth, accountability, inclusion, collaboration, and continuous learning.
• Create Repeatable IP and Scale
  • Turn learnings from strategic customer engagements into reusable architectures and playbooks.
  • Identify patterns across customers and industries that can become repeatable solutions.
  • Establish mechanisms for sharing best practices and technical insights.
  • Partner with product, engineering, marketing, sales, and partner organizations to take successful customer patterns to market at scale.
• Connect Customers, Field and Engineering
  • Create a feedback loop between customers, the field, Product, and Engineering.
  • Systematically identify recurring product gaps and technical blockers.
  • Provide clear, evidence-based customer signals that help inform product and engineering priorities.
  • Partner with Engineering to accelerate resolution of critical customer blockers.
• Shape the AI-Native GBB Operating Model
  • Champion of an AI-first approach to technical sales and customer engagement.
  • Explore how agents, generative AI, and automation can increase effectiveness.
  • Encourage the team to rethink traditional technical sales processes.
  • Lead organizational change required to operate successfully in a rapidly evolving AI market.
• Drive Business and Operational Excellence
  • Establish clear priorities, objectives, and metrics for the organization.
  • Maintain strong operational discipline across pipeline and customer engagements.
  • Develop mechanisms for identifying and concentrating resources on high-impact opportunities.
  • Use data and customer evidence to continuously improve execution.

Qualifications

• Bachelor's Degree in Computer Science, Information Technology, Business Administration, Information Security, or related field AND 8+ years experience in technical solution architecture and enterprise sales, business development, strategic consulting, technical consulting, or relevant/prioritized industry.
• Citizenship & Citizenship Verification: This role will require access to information controlled for export under export control regulations.

Preferred Qualifications

• 12+ years of experience across enterprise technology, cloud, AI, technical sales, solution engineering, product, consulting, or related disciplines.
• Experience leading high-performing technical, sales, solution, engineering, or customer-facing teams.
• Experience driving large and complex enterprise technology transformations.
• Understanding of cloud computing, modern application platforms, data, generative AI, AI agents, and emerging enterprise AI architectures.
• Experience engaging and influencing C-level business and technology executives.
• Experience translating complex technology into business value and measurable customer outcomes.
• Experience leading complex customer opportunities involving multiple technologies and stakeholders.
• Experience creating scalable programs, technical solutions, or go-to-market motions.
• Business and commercial acumen with the ability to connect technical strategy to adoption and growth.
• Experience influencing Product and Engineering organizations using structured customer evidence.
• Experience leading organizational or business transformation through significant technology change.
• Understanding of competitive dynamics across cloud and AI platforms.
• Communication, executive presence, and relationship-building skills.
• Analytical and operational management experience.
• Leadership experience in enterprise AI, cloud platforms, or AI applications.
• Experience with Microsoft Azure and Microsoft's AI platform.
• Experience designing or deploying generative AI and agentic AI solutions in enterprise production environments.
• Experience building or leading specialized technical sales or solution engineering organizations.
• Experience taking emerging technologies from early customer adoption to repeatable execution.
• Experience creating technical IP, accelerators, or field programs that have scaled across multiple customers.
• Experience working closely with engineering and product teams to translate customer requirements into product improvements.
• Experience leading transformation across a large, matrixed global organization.

Compensation

• The typical base pay range for this role across the U.S. is USD $133,000 - $222,700 per year.
• Different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area is USD $170,300 - $239,800 per year.

Equal Opportunity Employer

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable local laws, regulations, and ordinances.