Job Details:Job Description: Owns planning of a more complex supply chain link. Develops, optimizes, coordinates, and drives execution of supply chain planning schedules, materials, forecasts, build plan and capacity requirements, logistics and inventory optimization to meet customer requirements. Collaborates with RnD, marketing, and manufacturing to support standard and custom solutions from materials and supply chain perspectives. Regularly applies mathematics, statistics, advanced analytics, and optimization modeling to find patterns and relationships in data to help optimize inventory, material, network flow, time, and cost efficiency, and creates supply strategies. Develops initial product setup/bill of materials/supply chain model designs. Develops data structures and standardized reports to support supply chain business strategies. Establishes or maintains database(s) to manage supply chain information, dashboards, and reports. Manages supply disruption events and provides clear communication to partners on adjusted build plan and priorities, tradeoffs, and recommendations to meet customer demand.
You will be responsible for, but not limited to:
Leading the design and capabilities for Intel Foundry focusing primarily on revenue engineering for the Fabrication manufacturing stage (including Fab, Bump, Sort, and Die Prep)
Determine the requirements for future supply chain planning systems
Work with stakeholders across Intel Foundry to determine business processes and optimized solutions for Foundry Revenue from Engineering builds
Drive the Revenue Engineering business process execution across factory planning while owning some directly as the subject matter expert
Train factory planners on the latest processes as they are implemented
Ensure data connections from upstream customer sources (both Intel Products and Intel Foundry customers) to downstream applications and users including factory execution
Professional traits:
Capable to managing within ambiguous environments
Ability to independently identify opportunities for continuous improvement
This position is not eligible for Intel immigration sponsorship
Qualifications:Minimum Qualifications
Bachelor’s Degree in Engineering or Supply Chain or related field
2+ years’ experience working in or around a product planning
1+ years of Experience with Intel Fab manufacturing operations and processes
Preferred Qualifications
Capacity planning experience
Experience in new product planning or new product introductions
Experience working across various organizational levels including senior vice presidents.
Experience presenting up to senior leadership levels.
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, New Mexico, Albuquerque, 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.
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $107,990.00-152,460.00 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.
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