Business Operations, Lead

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

As a Data Operations Analyst at Lam, you will play a pivotal role in enabling organizational efficiency and effectiveness across the Global Planning organization. This role focuses on improving how teams access, manage, interpret, and act on information by strengthening systems capability, analytical maturity, and data-driven operating discipline.
 
In this role, you will identify opportunities to reduce manual effort, eliminate unnecessary “touches,” and simplify the path from question to answer. Your work will connect process understanding, system knowledge, and analytics capability to create scalable solutions that improve decision speed, data quality, and operational performance.

•    Improve organizational efficiency by reducing manual data handling, redundant reporting steps, and unnecessary handoffs required to find, validate, or manage critical planning information.
•    Partner with planning, supply chain, manufacturing, logistics, and IT stakeholders to identify process and system friction points that slow decision-making or create avoidable work.
•    Translate business needs into scalable analytical solutions, dashboards, reporting standards, and system-enabled workflows that improve access to the right information at the right time.
•    Measure and publish operational performance against established metrics and targets, ensuring insights are accurate, actionable, and connected to business outcomes.
•    Perform gap analysis across planning processes, systems, data flows, and reporting routines to identify root causes of inefficiency and recommend sustainable improvements.
•    Develop risk assessments and decision-support narratives that help leaders understand tradeoffs, dependencies, and opportunities for improved execution.
•    Present data-based, prescriptive, and actionable recommendations to leadership with clear linkage to operational performance, system adoption, and efficiency gains.
•    Drive cross-functional process and capability improvements that standardize work, increase analytical self-service, and reduce reliance on one-off manual intervention.
•    Ensure compliance with analytics standards, data definitions, governance expectations, and reporting best practices.
•    Take ownership of complex cross-functional efforts, coordinating stakeholders and advancing work to completion.

•    Bachelor’s degree in Supply Chain, Operations Management, Business, Engineering, Information Systems, Data Analytics, or related field.
•    5+ years of experience in operations, business analytics, systems enablement, process improvement, program management, or a similar role.
•    Demonstrated ability to improve business processes through systems, analytics, automation, reporting standardization, or data governance.
•    Strong analytical skills with the ability to interpret data, identify trends, diagnose process issues, and translate insights into action.
•    Experience with Microsoft Power BI and other analytics, visualization, or data management tools.
•    Excellent verbal and written communication skills, including the ability to influence stakeholders and explain complex information in simple, actionable terms.
•    Demonstrated success working in a fast-paced global environment with cross-functional teams.
•    Experience leading cross-functional initiatives and driving adoption of new processes, tools, or standards.

•    Systems-minded — understands how processes, data, tools, and people connect, and can identify where better system design can reduce effort and improve outcomes.
•    Analytically strong — can convert large amounts of data into simple, accurate conclusions and practical recommendations.
•    Curious — has a strong desire to understand the root cause of problems and challenge why work is done the way it is.
•    Efficiency-oriented — embraces the detailed work required to deliver high-quality outputs while actively seeking ways to streamline, automate, and reduce manual effort over time.
•    Comfortable in ambiguity — brings clarity, structure, and control to complex or chaotic situations.
•    Self-directed — may not know everything at the start, but can learn quickly, connect the dots, and move work forward independently.
•    Stakeholder-focused — can quickly build trust, understand user pain points, and influence adoption of better tools, standards, and ways of working.
•    Outcome-driven — takes pride in producing work that is reliable, scalable, and meaningfully improves how the organization operates.

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.

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