Intel Foundry Data Process Architect/Steward

Data & Analytics Architect

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.

Key Responsibilities

• Strategic Data Leadership
• Cross-Functional Collaboration
• System Ownership & Governance
• Transformation Leadership

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.

Qualifications

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications

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

Preferred Qualifications

• 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

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

Business Group: Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth.

Posting Statement: 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.

Benefits: 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: $136,380.00-192,540.00 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.

Work Model for this Role: 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.