Npi Program Manager

Microsoft Microsoft · Big Tech · Redmond, WA +1 · NPI Program Management

This role focuses on building AI-powered workflows and data systems to enhance the productivity of NPI Program Managers within Microsoft. The core responsibility is to design and deploy tools, structured data sources, and agentic AI solutions to improve risk foresight and pattern recognition in hardware program management. It involves owning the data model, delivering tooling for risk surfacing, and architecting LLM-based and agentic workflows for status synthesis and reporting.

What you'd actually do

  1. 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.
  2. 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.
  3. Data Foundation: Own the data model and information architecture that consolidates fragmented NPI inputs (Program POR, supplier/manufacturing data, engineering trackers, meeting notes) into clean, queryable sources of truth.
  4. 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.
  5. 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.

Skills

Required

  • Bachelor's Degree Engineering, Supply Chain Management, or related field AND 2+ years experience in engineering, manufacturing, operations, program management, hardware development, or consumer electronics.
  • Ability to meet Microsoft, customer and/or government security screening requirements

Nice to have

  • Master's Degree Engineering, Supply Chain Management, or related field AND 3+ years experience in engineering, manufacturing, operations, program management, hardware development, or consumer electronics.
  • 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.

What the JD emphasized

  • Proven track record shipping internal tools, automations, or AI agents that drove measurable productivity gains for a team or organization

Other signals

  • shipping AI solutions
  • agentic workflows
  • LLM-based solutions
  • data foundation for AI