Program Inventory Ops/Analyst

Job Title

Program Inventory Ops/Analyst

Role Summary

Support product execution for optical solutions by translating supply, material, and readiness data into actionable insights. Work cross-functionally with program management, engineering, product, planning, and operations to monitor material availability, analyze inventory positions, identify supply and operational risks, and improve launch readiness for NPI (new product introduction) programs.

Experience Level

Mid-level; typically requires 3–5 years of analyst experience focused on NPI or product launch phases.

Responsibilities

Primary responsibilities span NPI material management, program launch tracking, and analytics to support smooth transition to mass production.

• Track engineering inventory from manufacturing through disposition, internal allocation, and re-allocation.
• Manage early-development IC component procurement and tracking for testing and product development.
• Develop scenarios and demand plans for different production volumes; coordinate order placement and tracking with Supply.
• Track and communicate material delivery schedules, dependencies, and delays to stakeholders.
• Manage sample allocation to validation engineering teams and strategic alpha customers.
• Coordinate material handoffs between R&D, product engineering, and mass production teams.
• Map NPI milestones into Jira epics and user stories; update launch tools with real-time status on first-silicon and qualification hardware.
• Lead post-launch retrospectives to improve time-to-market for future spin-offs.
• Monitor pre-production yields and reconcile engineering WIP data between partner reports and internal tracking.
• Model ramp-up inventory requirements and forecast NPI material costs, tracking variances against development budgets.

Requirements

Must-have experience, technical skills, and behavioral capabilities for the role.

• 3–5 years of analyst experience with significant exposure to NPI or product launch activities and inventory planning/tracking.
• Experience in fabless semiconductor environments with familiarity of foundry and assembly validation cycles and dependencies; strong understanding of silicon lifecycles (tape-out, first silicon, qualification, mass production).
• Proficiency with agile collaboration tools such as Jira and Confluence.
• Advanced data-analysis skills: Excel modeling, SQL, and visualization tools (Tableau or Power BI).
• Familiarity with Product Data Management (PDM) or PLM systems for BOM and part-number tracking.
• High-velocity problem solving, cross-functional diplomacy, and meticulous attention to detail.
• Ability to produce clear readiness and inventory reports and drive clarity across schedules, materials, and operational priorities.

Education Requirements

Bachelor's degree in Electrical Engineering, Industrial Engineering, Supply Chain, or Data Analytics (explicitly listed). No alternative degree-equivalence language provided.

About the Company

Company: Marvell Technology

Headquarters: Santa Clara, California, United States

Marvell’s semiconductor solutions serve as essential building blocks of the data infrastructure connecting our world, driving innovation across enterprise, cloud, AI, and carrier architectures. The company focuses on creating transformative technology that shapes the future.