Summary
Microsoft is seeking a Business Program Manager to support its Capacity Shared Services organization and One Capacity approach. The role manages automation, backend tooling, process improvement, requirements analysis, data analytics, cross-functional delivery, and AI-powered solutions for Azure capacity allocation and operational workflows.
Responsibilities
- Lead end-to-end capacity automation and operational tooling programs, ensuring successful execution against business goals, timelines, and deliverables
- Manage complex workstreams across multiple stakeholders, balancing priorities, dependencies, risks, and business outcomes
- Drive operational rigor through structured program management practices, governance, and stakeholder alignment
- Identify opportunities to streamline and automate business processes, reduce manual effort, and improve operational efficiency
- Implement scalable solutions that enhance reliability, consistency, and effectiveness of the Capacity Operating System
- Leverage data and stakeholder feedback to continuously improve workflows and operating models
- Translate business needs into clear requirements, user stories, acceptance criteria, and functional specifications
- Partner with stakeholders to prioritize initiatives and ensure solutions align with strategic business objectives
- Drive requirements gathering and validation activities throughout the solution lifecycle
- Partner closely with Engineering, Operations, Capacity Planning, and business stakeholders to deliver integrated solutions
- Facilitate decision-making, resolve dependencies, and drive alignment across diverse teams
- Communicate program status, risks, and recommendations to stakeholders at multiple organizational levels
- Plan, coordinate, and deliver automation, integration, and backend tooling initiatives from concept through deployment
- Track milestones, risks, dependencies, and business outcomes to ensure successful program delivery
- Drive execution excellence while managing competing priorities in a fast-paced environment
- Use data, reporting, and operational metrics to inform prioritization, decision-making, and process optimization
- Analyze trends and performance indicators to identify opportunities for efficiency and business impact
- Develop insights that improve operational effectiveness and support strategic planning
- Apply deep understanding of capacity allocation, governance, and operational processes to improve business performance
- Identify opportunities to enhance organizational effectiveness through process, tooling, and operational improvements
- Recommend solutions that balance business needs, operational requirements, and long-term scalability
- Build trusted partnerships across technical and business organizations
- Influence decisions and drive alignment without direct authority
- Communicate complex concepts clearly and effectively to diverse audiences
- Drive adoption of new processes, tools, automation capabilities, and governance standards
- Develop documentation, communications, and enablement materials to support organizational change
- Champion continuous improvement and operational transformation initiatives
- Establish and maintain data quality, governance, reliability, and process standards
- Create scalable documentation, best practices, and operational frameworks
- Support sustainable operations through continuous monitoring and optimization
- Leverage Microsoft Copilot and AI-powered solutions to improve productivity, analysis, documentation, and operational execution
- Identify opportunities to apply AI technologies to automate recurring workflows and enhance business outcomes
- Promote innovative approaches that increase operational scale and efficiency
- Embody our culture and values
Skills
- Bachelor's Degree in Business, Operations, Finance, or related field AND 4+ years experience in program management, process management, or process improvement OR equivalent experience
- Direct professional experience with cloud infrastructure capacity planning, including datacenter, compute, storage, network, or AI/GPU capacity management systems
- Experience with datacenter, compute, or infrastructure capacity management systems and tooling used to plan, allocate, monitor, and scale capacity
- Experience in cloud computing, including experience working for or with major cloud providers, cloud customers, partners, or the broader cloud infrastructure industry
- Familiarity with AI capacity planning, AI infrastructure, GPU compute, large-scale model requirements, Generative AI, Agentic AI, and the supply constraints that influence AI workload prioritization and customer outcomes
- Experience translating operational requirements into system, data, integration, and workflow requirements that support scalable business processes
- Experience delivering operational tooling, automation, and process improvement initiatives in partnership with engineering and technical teams
- Strong analytical skills with experience using operational datasets, dashboards, reporting tools, APIs, and data-driven insights to support decision-making
- Proven ability to lead cross-functional initiatives and influence stakeholders without direct authority across complex organizational environments
- Experience mapping, documenting, and simplifying cross-functional business processes, including defining clear roles, handoffs, controls, and operational governance
Qualifications
Must Haves
- Bachelor's Degree in Business, Operations, Finance, or related field AND 4+ years experience in program management, process management, or process improvement OR equivalent experience
- Direct professional experience with cloud infrastructure capacity planning, including datacenter, compute, storage, network, or AI/GPU capacity management systems
Nice to Haves
- Experience with datacenter, compute, or infrastructure capacity management systems and tooling used to plan, allocate, monitor, and scale capacity
- Experience in cloud computing, including experience working for or with major cloud providers, cloud customers, partners, or the broader cloud infrastructure industry
- Familiarity with AI capacity planning, AI infrastructure, GPU compute, large-scale model requirements, Generative AI, Agentic AI, and the supply constraints that influence AI workload prioritization and customer outcomes
- Experience translating operational requirements into system, data, integration, and workflow requirements that support scalable business processes
- Experience delivering operational tooling, automation, and process improvement initiatives in partnership with engineering and technical teams
- Strong analytical skills with experience using operational datasets, dashboards, reporting tools, APIs, and data-driven insights to support decision-making
- Proven ability to lead cross-functional initiatives and influence stakeholders without direct authority across complex organizational environments
- Experience mapping, documenting, and simplifying cross-functional business processes, including defining clear roles, handoffs, controls, and operational governance