Strategic / Development Industrial Engineer (Senior Individual Contributor)

Intel Corporation•Santa Clara, CA

4d•$191,220 - $269,950•Hybrid

About The Position

Intel’s Foundry Capacity Optimization (FCO) and Strategic Planning organization is seeking a senior individual contributor to lead operational transformation across its planning and capacity ecosystems. Reporting directly to the VP/GM of Foundry Capacity Optimization, the role partners with Staff Area Managers, Principal Engineers, and senior FCSP stakeholders to develop and execute a multi-year digital and operational transformation roadmap. The objective is to increase strategic impact, velocity, and analytical depth without expanding headcount by reducing manual data handling and repetitive reconciliation, allowing engineers to focus on complex semiconductor capacity and customer delivery challenges. The role defines the FCO digital transformation roadmap and enterprise systems architecture; translates foundry workflows into scalable system requirements; and establishes metrics for efficiency and decision-making improvements. It leads adoption of AI, machine learning, generative AI, automation, and integrated planning systems, while working with automation, IT, software, data, and business intelligence teams and external technology partners. It also benchmarks external planning practices and platforms, builds business cases and technology roadmaps, advises stakeholders, leads change adoption, and mentors engineers in analytical tools and systems-level problem solving.

Requirements

Proficiency with data analysis and automation tools such as SQL, Python, Excel, business intelligence platforms, or similar technologies.
Experience developing capacity models, facility layouts, or manufacturing systems.
Knowledge of supply chain processes, production systems, or factory operations.
Familiarity with forecasting methodologies and statistical techniques.
Bachelor’s/BS degree in Industrial Engineering, Manufacturing Engineering, Operations Research, or a related field.
At least 12 years of relevant experience with a bachelor’s degree, 8 years with a master’s degree, or 6 years with a PhD.

Nice To Haves

Experience in high-volume semiconductor manufacturing, semiconductor foundry operations, or complex wafer fab supply chains, including familiarity with fab toolsets, lithography/etch/thin-film constraints, cycle-time dynamics, and capacity models.
Familiarity with supply chain and capacity planning suites such as Kinaxis, Anaplan, SAP IBP, and Blue Yonder, and with modern business intelligence architectures.
Experience engaging with and directing external technology vendors, systems integrators, and management consultants on technology pilots and full-scale rollouts.
Expertise in Lean, Six Sigma, Design for Excellence, or formal Business Process Re-engineering.

Responsibilities

Define, architect, and deliver the end-to-end FCO Digital Transformation Roadmap, aligning long-range planning, capacity modeling, tool allocation, and operational execution systems.
Translate foundry operational workflows into automated, scalable, and resilient enterprise system requirements.
Establish measurable efficiency and productivity metrics for manual labor reduction, cycle-time compression, and decision-velocity improvements.
Lead adoption of AI, machine learning, generative AI, and automation for decision-support pipelines, including tool mismatch identification, capacity balancing, and yield/mix scenario modeling.
Partner with Foundry Automation, Enterprise IT, software development groups, and third-party technology consultants to prototype, validate, and deploy production-grade solutions.
Drive the transition from fragmented spreadsheets and static databases to unified, low-latency, automated enterprise planning engines.
Work with data engineering and business intelligence teams to establish a single source of truth for fab capacity, equipment lines, capital planning, and customer allocations.
Institutionalize automated exception handling, data anomaly detection, and self-healing data pipelines across critical planning feeds.
Benchmark semiconductor foundries and adjacent industries for advanced planning systems, algorithmic optimization, and operational efficiency methods.
Evaluate commercial off-the-shelf platforms versus internal builds and develop business cases, ROI models, and technology roadmaps for executive review.
Advise Staff Area Managers, Principal Engineers, and executive management as a technical thought partner.
Lead operational change management and adoption of digital tools, automated interfaces, and standardized workflows.
Mentor and upskill engineers in analytical tools, automation scripts, and systems-level problem solving.