NPI Materials Program Lead—Global Supply Chain

Solidigm Inc.

California (MO)

On-site

USD 88,000 - 137,000

Full time

14 days+
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Benefits offered by this job

RSU eligibility
RCU eligibility
Bonus program
Benefits package

Job summary

Solidigm is seeking an individual contributor to develop supply chain strategies supporting the organization's vision. Based in Rancho Cordova, CA, the role focuses on optimizing inventory, materials, and supply strategies from wafer starts through customer fulfillment.

As SSD NPI Materials Program Manager, you will plan and manage programs, lead cross-functional teams, assess risks, and drive schedules while using data analytics to design improvements.

Qualifications

  • Degree in Industrial Engineering, SCM, Engineering, Data Analytics or related field.
  • 8+ years in material planning, SCM, procurement, manufacturing operations or PM.
  • Strong MS Office skills, especially Excel, and analytical abilities.
  • Excellent written and verbal communication and presentation skills.

Responsibilities

  • Plan and manage Supply Chain programs to meet objectives.
  • Provide leadership for project team interfaces and execution.
  • Manage delivery of product/services and schedule tasks.
  • Identify tasks, dependencies, resources, and estimates.
  • Assess risks, monitor progress, and coordinate resources.
  • Review requirements for completeness and clarity, meet deadlines.
  • Lead multiple tasks under tight deadlines with data-driven decisions.

Skills

Analytical Skills
MS Office
Communication Skills
Presentation Skills

Education

Industrial Engineering or related quantitative field

Tools

Excel

Job description

Solidigm is seeking an individual contributor to develop supply chain strategies supporting the organization's vision. Based in Rancho Cordova, CA, the role focuses on optimizing inventory, materials, and supply strategies from wafer starts through customer fulfillment.

As SSD NPI Materials Program Manager, you will plan and manage programs, lead cross-functional teams, assess risks, and drive schedules while using data analytics to design improvements.

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