Sr. Business Program Manager

Microsoft•Redmond, WA
•$97,600 - $206,400

About The Position

The Sr. Business Program Manager will work across Microsoft Customer and Partner Solutions, product marketing, engineering, finance, compliance, legal, and support to identify high-value AI opportunities and move ideas to measurable outcomes across internal teams and partner-facing experiences. The role manages AI demand across Partner Experiences & Operations, triages requests using consistent criteria, and drives alignment and outcomes at the intersection of business strategy, engineering, and governance. The position supports the Partner Experiences & Operations team, which enables partner program strategy, design, launch, landing, and performance. It focuses on AI experiences for partners and field teams, helping Microsoft’s partner ecosystem use digital experiences to interact, transact, and get work done. The role develops AI strategy and governance, guides opportunities from concept through proof of concept and production decisions, builds organizational AI capability, and measures outcomes using data and partner and field feedback.

Requirements

  • Bachelor's degree in Business, Operations, Finance, or a related field and 4+ years of experience in program management, process management, or process improvement, or equivalent experience.

Nice To Haves

  • Demonstrated experience delivering or governing artificial intelligence or machine learning solutions in a business setting, including taking a workload from concept through pilot to a decision.
  • Experience driving business or product outcomes using objectives, key results, and data-driven insights.
  • Hands-on familiarity with AI application technologies, including Azure AI services, Copilot Studio agents, retrieval-augmented generation (RAG), and agent or Model Context Protocol (MCP) patterns, with the ability to assess feasibility, cost, and effort.
  • Experience applying Responsible AI, privacy, and security reviews to production or customer-facing AI workloads.
  • Experience managing intake, triage, or demand-management processes with defined prioritization criteria.
  • Experience with Azure subscription and cost management, including scoping, metering, and managing spend across experimental workloads.
  • Experience managing vendor or managed-services delivery.
  • Experience working within a partner ecosystem or in a partner- or customer-facing role across audiences such as partners, strategy, marketing, or business development.
  • Ability to translate complex business opportunities into simple, effective, and creative technical solutions.
  • Ability to prioritize work and drive strategic alignment in a matrixed organization while creating clear, concise, and actionable insights.
  • Operational rigor and precision in communicating across workstreams, tracking progress toward shared goals, identifying opportunities and risks, and meeting deadlines.
  • Collaborative and adaptable, with experience working across multiple functional teams and identifying opportunities for collaboration across the business.

Responsibilities

  • Envision and drive AI strategy for partner and field experiences, identify opportunities for business value, and establish consistent investment criteria.
  • Lead planning and prioritization of strategic business needs within a governed AI portfolio, moving high-value ideas from concept through validated proof of concept to a production decision.
  • Establish operating models and governance standards for safe, consistent, repeatable AI adoption, including intake and prioritization, Responsible AI, security, privacy, and production-readiness criteria.
  • Drive cross-functional collaboration and alignment among business owners, engineering, compliance, and leadership, incorporating partner and field perspectives and optimizing time to value.
  • Develop an enablement strategy to increase AI literacy and equip teams to design, build, and operate solutions.
  • Manage infrastructure, compliance, and cost models supporting experimentation at scale, including vendor delivery resources.
  • Collaborate across business strategy, engineering, and Responsible AI to support the design of AI-enabled experiences at scale.
  • Measure business outcomes using data and partner and field feedback, and adjust plans as needed.
  • Develop partnerships and influence stakeholders and leaders, applying technical and industry knowledge to advise where AI can create meaningful business value.
  • Embody Microsoft’s culture and values.
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