The Global Products Group at Lam Research is seeking to solve challenges in business operations, quality, install and warranty, and inventory performance for deposition products. The goal is to drive innovation and deliver value to customers and internal functions while achieving multi-million dollar savings for reinvestment in product development and business decisions.
Requirements
- Basic understand of AI and machine learning and ability to work with Data Scientist to use AI to solve complex challenging problems leading to efficiency and effectiveness improvements.
- Ability to define problem statements and objectives, development of analysis solution approach, execution of analysis.
- Basic knowledge of Lean Six Sigma processes, statistics, or quality systems experience.
- Knowledge of Power BI capability and development.
- Knowledge of programming environments such as Python, R, Matlab, SQL or equivalent.
- Experience in structured problem-solving methodologies such as PDCA, DMAIC, 8D and quality tools.
- Ability to present conclusions and recommendations to executive audiences.
Responsibilities
- Develop tools, metric measurement and assessment methods for performance management and predictive modeling.
- Develop dashboards for product management and executives to drive faster and better decision making.
- Create accountability models for DPG-wide quality, I&W, inventory, product management KPI’s and business operations.
- Improve DPG-wide quality, install and warranty, and inventory performance consistently from awareness, prioritization, and action through the availability of common data.
- Collaborate with quality, install, and warranty, and inventory program managers to analyze trends and patterns in data that drive required improvement in key performance indicators (KPIs).
- Foster growth and utility of Cost of Quality within the company through correlation of I&W data, ECOGS, identification of causal relationships for quality events and discovery of hidden costs throughout the network.
- Improve data utilization via AI and automation leading to real time resolution and speeding systemic action.
Other
- Bachelor’s degree with 8+ years of experience; or master’s degree with 5+ years’ experience; or equivalent experience.
- Semiconductor industry experience is a PLUS.
- Ownership mindset to drive solutions and positive outcomes.
- Excellent communication and presentation skills with the ability to present to audiences at multiple levels in the Company.
- Willingness to adapt best practices via benchmarking.
