Foundry Strategic Industrial Engineer

Role Overview

• 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.
• Provide 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.
• Coordinating and/or performing 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.
• Proactively develop and drive strategic initiatives for improving department capabilities and/or efficiencies.
• 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, eliminate waste, and reduce 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.

Requirements

• A Bachelor's degree in an Engineering, Mathematics, or Statistics discipline and 3+ years of relevant experience OR; A Master’s degree in an Engineering, Mathematics, or Statistics discipline and 2+ years of relevant experience OR; A PhD in an Engineering, Mathematics, or Statistics discipline and 1+ years of relevant experience.
• Experience synthesizing abstract complex data into clear messages for impactful presentations.
• Must have demonstrated experience and/or knowledge of core Industrial Engineering concepts.
• Must have 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.
• Ability to independently manage diverse assignments and drive strategies in complex environments.
• Detail-oriented with strong data analysis skills to drive financial results.
• Leadership experience in executing fast-paced, complex projects.
• Ability to synthesize complex information into clear, impactful presentations.

Benefits

• Competitive pay
• Stock bonuses
• Health insurance
• Retirement plans
• Vacation