Planning Capabilities Analyst

Job Title

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 R&D, 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.

• Lead 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/production planning

• Capable of managing within ambiguous environments
• Ability to independently identify opportunities for continuous improvement

• 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

• 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

Experienced Hire

Shift 1 (United States of America)

US, Arizona, Phoenix

• US, California, Folsom
• US, California, Santa Clara
• US, New Mexico, Albuquerque
• US, Oregon, Hillsboro

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. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembles/test packages the compute devices to improve the lives of every person on Earth.

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, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

USD $ – $ (US locations). 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.