Sr. Business Program Manager

Microsoft•Redmond, WA

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 turn them into measurable outcomes across internal teams and partner-facing experiences. The role manages AI demand across Partner Experiences & Operations, triages requests using consistent criteria, and aligns business strategy, engineering, and governance to deliver outcomes across stakeholders. The position drives AI strategy for partner and field experiences, oversees a governed AI portfolio, and establishes operating models and governance standards for safe, consistent adoption at scale. It also builds organizational AI capability, manages experimentation infrastructure, compliance, costs, and vendor delivery resources, and measures business outcomes using data and partner and field feedback. The role is part of Global Channel Partner Sales’ Partner Experiences & Operations team. This team enables partner program strategy, design, launch, landing, and performance. Microsoft’s mission is to empower every person and every organization on the planet to achieve more; its culture emphasizes growth mindset, innovation, collaboration, respect, integrity, accountability, and inclusion.

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, creative technical solutions.
Ability to prioritize work and drive strategic alignment in a matrixed organization while creating clear, concise, 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, identifying opportunities for durable business value and establishing consistent investment criteria.
Plan and prioritize 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 across 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 for experimentation at scale, balancing speed, governance, and disciplined investment, including vendor delivery resources.
Collaborate across business strategy, engineering, and Responsible AI to support 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.