FCO Strategic/Development Functional Area Industrial Engineer

Job Details Job Description: At Intel, we strive to shape the future of technology with innovative solutions. As a Strategic/Development Industrial Engineer within the Foundry Capacity Optimization (FCO) organization, you will play a key role in defining and executing long-term capacity and capital strategies. FCO ensures factories are equipped with the right tools, in the right place, at the right time to maximize Intel's return on capital investment. You will work closely with organizational leadership and cross-functional teams to optimize capacity and capital, solve complex challenges, and influence business strategies with data-driven insights. We are a global team driving impactful, strategic change. Key Responsibilities Collaborate with organizational leadership and cross-functional teams to analyze complex business data, identify risks and opportunities, and develop data-driven models and reports. Develop capacity strategies aligned to demand, factory capability, capital constraints, and product roadmap to enable optimized network output. Apply advanced data analysis and modelling to identify opportunities for tool moves, conversions, and network optimization. Develop capital investment strategies to maximize return, while identifying risks and opportunities. Collaborate with stakeholders to develop and implement actionable solutions, driving continuous improvement. Communicate effectively, both verbally and in writing, with all levels, including executive leadership. Drive continuous improvement to capacity, capital, and business process/strategy. Behavioral Traits High attention to detail and commitment to quality. Ability to operate effectively in a fast-paced, ambiguous environment. Strong problem-solving skills and a data-driven mindset. Proven ability to collaborate, influence, and drive accountability across teams. Demonstrated leadership, including setting expectations and taking ownership of complex projects. Clear, concise communication. Note: This role requires regular onsite presence for a minimum of four days to fulfill essential job responsibilities. Qualifications Bachelor's or Master's degree in Industrial Engineering, Manufacturing Engineering, or an engineering-related field. 4+ years of experience in data analysis, capacity planning, or financial systems and processes. Preferred Qualifications: Strong problem-solving and communication skills demonstrated through professional achievements. Exposure to strategic planning and collaboration with senior leadership on cross-functional teams. Ability to collect, organize, access, and manage data as a valuable resource in order to support productivity, efficiency, and decision-making. Ability to drive results independently in a dynamic environment. Hands on experience with Power BI, simulation modeling or python programming Job Type: Experienced Hire Shift: Shift 1 (United States of America) Primary Location: US, Oregon, Hillsboro Additional Locations: US, Arizona, Phoenix, US, New Mexico, Albuquerque 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. Position of Trust N/A 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: $120,860.00 - 170,630.00 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.

ADDITIONAL INFORMATION

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