Foundry Strategic Industrial Engineer

Responsibilities

• Partnering closely with technology development, supply chain/sourcing, HVM factories, finance, and other organizations to develop and maintain data, systems, models, and business processes that enable decision analysis and operations to take place
• Providing strategic guidance to organizational leadership by collecting, analyzing, and interpreting complex business data to identify trends, risks, and opportunities
• Facilitating business processes and leading focused efforts tied to decision timing milestones across large and diverse groups of stakeholders that ensure execution toward targets and commitments
• Cooking scenario-based analysis across multiple teams/disciplines to quantify risks, opportunities, and impacts of changes; and then communicating the results of these at all levels of the organization to influence effective decision making and execution
• Developing should-cost, NPV/ROI, and other types of financial models to assess both baseline and what-if trade-offs/alternatives for products, architectures, processes, technologies, equipment, and other areas
• Maintaining data systems and reports that are used across Intel Foundry
• Partners with internal stakeholders to define the long range capacity strategy, with consideration of product roadmaps, architecture, demand, parameters, factory capability, affordability, space, and forecast uncertainty
• Works with leadership to determine, articulate, and execute the go forward vision, strategies, and tactics to develop a world class organization
• Leverages various data analysis techniques to collect, explore, and extract insights to make recommendations and influence strategies
• Investigates, designs, and develops production capacity models, layout models, and data systems to balance production efficiency, eliminating waste, and reducing costs, while adhering to technical process requirements and maintaining quality standards
• Develops and optimizes equipment schedule durations, schedule logic, and procurement requirements to ramp new technologies
• Other similar or related items

Qualifications

• A Bachelor's degree in an Engineering, Mathematics, or Statistics discipline and 3+ years of relevant experience
• A Master’s degree in an Engineering, Mathematics, or Statistics discipline and 2+ years of relevant experience
• A PhD in an Engineering, Mathematics, or Statistics discipline and 1+ years of relevant experience
• Demonstrated experience and/or knowledge of core Industrial Engineering concepts
• Demonstrated experience and/or knowledge of semiconductor manufacturing processes such as Wafer Fabrication, Advanced Packaging, Testing, and others
• Proven track record of high performance and significant accomplishments
• Excellent business acumen, technical understanding, and organizational savvy
• Expertise in networking and collaborating across multiple groups and disciplines
• Strong detail-oriented skills with strong data analysis skills to drive financial results
• Experience in capacity and cost modeling within manufacturing environments
• Exceptional collaboration and influence across cross-functional teams and all organizational levels
• Leadership experience in executing fast-paced, complex projects