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Microsoft Corporation Logo Microsoft Corporation · IT - Administration

Senior Program Manager - NPI Team

United States, Redmond Employment contract 119800.00 - 234700.00 USD / Year · Job Posted May 30, 2026
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Job Description

Are you energized by defining the systems and AI strategy that transforms how a program management organization operates? We are seeking a Senior Program Manager to join our NPI team in a role focused on increasing the productivity, scale, and depth of our NPI Program Managers through data systems, automation, and applied AI. In this Redmond-based role, you will set the vision and lead the build-out of tools, structured data sources, and agentic AI solutions that help PMs run multiple programs in parallel with stronger risk foresight and pattern recognition. This is not a traditional NPI execution role — your "program" is the leverage and effectiveness of the broader PM function. You will operate at the intersection of program management, data systems, and applied AI, influencing leadership decisions and mentoring others as you scale impact across the portfolio. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Job Responsibility

  • Cross-Functional Leadership: Lead engagements with engineering, data, and leadership stakeholders
  • drive end-to-end delivery of products and workflows from problem framing through adoption and measurable impact
  • Scale & Adoption: Establish reusable platforms, dashboards, and automations that scale across the product portfolio
  • influence PM operating norms and drive change management to ensure adoption
  • Data Foundation: Own the data model and information architecture that consolidates fragmented NPI inputs (build records, supplier data, engineering trackers, meeting notes) into clean, query able sources of truth
  • Risk Foresight & Pattern Recognition: Deliver portfolio-level tooling that surfaces risks earlier and highlights cross-program patterns, enabling leadership to make mitigation decisions that balance business and operational objectives
  • Applied AI & Automation: Architect and ship LLM-based and agentic workflows for status synthesis, risk surfacing, action tracking, and cross-program reporting
  • set the technical patterns and guardrails others build on
  • Mentorship & Capability Building: Mentor PMs and partners on data, automation, and applied AI practices
  • raise the technical bar of the NPI PM function

Requirements

  • Bachelor's Degree Engineering, Supply Chain Management, or related field AND 4+ years experience in engineering, manufacturing, operations, program management, hardware development, or consumer electronics
  • OR equivalent experience in engineering, manufacturing, operations or a related area
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Nice to have

  • Master's Degree Engineering, Supply Chain Management, or related field AND 6+ years experience in engineering, manufacturing, operations, program management, hardware development, or consumer electronics
  • OR Bachelor's Degree Engineering, Supply Chain Management, or related field AND 8+ years experience in engineering, manufacturing, operations, program management, hardware development, or consumer electronics
  • OR equivalent experience in engineering, manufacturing, operations or a related area
  • Proven track record shipping internal tools, automations, or AI agents that drove measurable productivity gains for a team or organization
  • fluency with structured data and SQL plus scripting (e.g., Python)
  • Working knowledge of LLMs and agentic AI frameworks (e.g., function calling, RAG, multi-step agents, evaluation loops)
  • Experience leading cross-functional initiatives that span PLM, ERP, and other supply chain systems
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