Foundry Data Process Architect​/Steward

Job Details:

Job Description :
Intel Foundry is transforming the semiconductor manufacturing landscape, and data architecture is critical to our success. As we modernize our enterprise systems and scale our operations, we need visionary data leaders to drive this transformation.

We're seeking a Data & Analytics Architect to serve as Intel Foundry's designated subject matter expert for data and analytics architecture. You'll provide thought leadership on technical architecture and data modeling while partnering with cross‑functional IT and business stakeholders to shape our data future.

• Strategic Data Leadership
  • Lead enterprise data management framework design to plan, enable, create, acquire, maintain, use, retrieve, control and purge data across Intel Foundry
  • Define and develop data standards and business processes that ensure compliance with Intel's architectural principles and governance policies
  • Provide expertise on decisions and priorities regarding enterprise‑wide data architecture
• Cross-Functional Collaboration
  • Partner with Intel product data teams, central master data teams, factory planning, finance, and IT organizations to analyze requirements and design effective data solutions
  • Work across organizational boundaries to determine data needs and deliver scalable solutions for storing and retrieving Intel Foundry product data
• System Ownership & Governance
  • Own and maintain Intel Foundry ERP (Enterprise Resource Planning) and SCP (Supply Chain Planning) product hierarchies
  • Govern changes to master data characteristics, attributes, and permitted values
  • Develop business processes for creating and maintaining Intel Foundry product master data
• Transformation Leadership
  • Orchestrate bulk data cutovers throughout 2026 supporting the critical transition from SAP ECC to SAP S4 (MDG)
  • Drive post‑cutover process optimization and data management excellence

This role offers the opportunity to shape Intel Foundry's data architecture during a pivotal transformation period, working with cutting‑edge technology and cross‑functional teams to enable our manufacturing excellence.

• Bachelor’s Degree in Engineering or Supply Chain, with 5+ years of experience working in or around a product master data environment

• Experience in an SAP transformation program moving into SAP S4
• Experience in SQL pathfinder queries
• Experience architecting a product data model
• Experience with Product Lifecycle Management processes and systems

Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

Job Type: Experienced Hire

Shift: Shift 1 (United States of America)
Primary

Location:

US, Arizona, Phoenix
Additional Locations: US, California, Folsom; US, California, Santa Clara; US, Oregon, Hillsboro
Position of Trust: N/A

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here:

Annual Salary Range for jobs which could be performed in the US: $– USD. The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

This role will be eligible for our hybrid work model which allows employees to split their time between working on‑site at their assigned Intel site and off‑site.
* Job posting details (such as work model, location or time type) are subject to change.