The group you’ll be a part of

The Global Planning & Operations Group brings information systems, facilities, supply chain, logistics, and high-volume manufacturing together to drive the engine of our global business operations. We help Lam deliver industry-leading solutions with speed and efficiency, while actively supporting the resilient and profitable growth of Lam's business.

The impact you’ll make

• Help the organization proactively plan required headcount by role and location based on build plan demand, global process needs, and flexible resource allocation.

What you’ll do

• Leverage business systems, data sources, and forecasting tools to model required headcount by role, competency, region, and location.
• Collect, profile, validate, and analyze workforce, build plan, process standards, and resource allocation data to identify trends, gaps, and capacity risks.
• Develop data-driven recommendations to support headcount planning, resource prioritization, and executive leadership reviews.
• Build dashboards, visualizations, and reporting tools that clearly communicate workforce demand, capacity constraints, and scenario-based planning outcomes.
• Partner with cross-functional stakeholders to understand global process requirements, role-based workload drivers, and future business needs.
• Support continuous improvement of headcount forecasting models by improving data quality, assumptions, and reporting consistency

Who we’re looking for

• Bachelor’s degree in Supply Chain, Operations Management, Data Analytics, Engineering, or related field, with 5 years experience; or 3 years experience with a Master's degree; or Ph.D with no experience.
• Five (5) years of Operations related experience in data science, program management, analytics, or other similar roles.
• Excellent verbal and written communication with experience influencing stakeholders.
• Demonstrated success working in fast-paced global working environment.
• Strong experience in business analysis, workforce planning, operations analytics, or a related analytical role.
• Experience with data profiling, data visualization, dashboard development, and executive-level reporting.
• Strong systems aptitude with the ability to leverage business tools and data platforms to support forecasting and decision-making.

Preferred qualifications

Our commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.