About this role
A Redmond-based NPI Program Manager role at Microsoft United States, Washington. This position focuses on increasing the productivity, scale, and depth of our NPI Program Managers through data systems, automation, and applied AI. You will design and deploy tools, structured data sources, and agentic AI solutions to help PMs run multiple hardware programs in parallel with stronger risk foresight and pattern recognition. This is not a traditional NPI execution role—the program is the leverage and effectiveness of the broader PM function. You will work at the intersection of program management, data systems, and applied AI, owning solutions end-to-end in a collaborative, fast-paced environment.
Responsibilities
- 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 (Program POR, supplier/manufacturing data, engineering trackers, meeting notes) into clean, queryable 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.
- Continuous Improvement: Identify opportunities for process improvements in new product introduction and help execute strategies to enhance efficiency and quality in product development, production, and supply chain readiness.
Requirements
- Required/Minimum
Qualifications
- Bachelor’s Degree in Engineering, Supply Chain Management, or a related field and 2+ years of experience in engineering, manufacturing, operations, program management, hardware development, or consumer electronics; or equivalent experience in engineering, manufacturing, operations, or a related area.
- Security: Ability to meet Microsoft, customer and/or government security screening requirements, including passing the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
- Location: United States, Washington (Redmond). Preferences for candidates with a track record shipping internal tools, automations, or AI agents that yielded measurable productivity gains; fluency with structured data and SQL plus scripting (e.g., Python); working knowledge of LLMs and agentic AI frameworks; and experience leading cross-functional initiatives spanning PLM, ERP, and other supply chain systems.
- Preferred
Qualifications
- Master’s Degree in Engineering, Supply Chain Management, or a related field and 3+ years of experience in engineering, manufacturing, operations, program management, hardware development, or consumer electronics; or Bachelor’s Degree with 5+ years of relevant experience. Demonstrated experience with structured data, SQL, scripting, and AI agent frameworks, as well as a proven track record of delivering impactful internal tools or automation across cross-functional programs.