Sr. Manager, Business Operations Management (Livermore, CA, US, 94551) na Lam Research

The group you’ll be a part of

The Global 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

What you’ll do

• Build robust master data for Global OPS owned data to support business transformation and execute data governance to ensure it meets the Global Operation’s strategic objectives and goals.
• Establish master data with authoritative source, reconciled data sets, validate high-quality data standards based on Common Data Models (CDMs).
• Ensure E2E data management for CDEs (Critical Data Elements) for flawless business execution.
• Be a “Spoke” to the “Hub” in governing data by delivering quality metadata to enable data dictionary/catalog, supporting lineage to create data transparency, and work with the SMEs to establish data stewardship with the desired user access control.
• Enable business insights for critical decisions by providing reliable and consistent data sets.
• Lead the adoption of industry-standard/best practices to support business scalability and significant business growth in the coming years.
• Help to define problem statements, vision/plan, success criteria, business benefits, and accountability within the team.
• Seamlessly collaborate and work across multiple teams (internal and external) to implement the solutions.
• Lead change to ensure the effective adoption of the processes and systems by the end-user community.
• Measure transformation results to ensure adherence to the goals. Take appropriate corrective actions or continuous improvement for any deviation.
• Solve complex problems by bringing thought leadership and influencing.

Who we’re looking for

• Bachelor’s degree in computer science or business operations, supply chain, or related field. Master's or MBA preferred.
• 6 - 8 years of management experience.
• 12 years' experience in a similar role.
• Hands-on experience in systems/technology implementation (e.g., SAP S4, Informatica MDM, PowerBI/App, AI/ML, Python, strong SQL, etc.) including predictive/prescriptive analytics.
• 8+ years of experience in building Master Data Management and Data Governance practice. Strong knowledge of operational processes, data management, governance, and experience in leading fast-growth companies.
• Business acumen within the Supply Chain domain combined with top-notch hands-on technical skills to work in a matrix organizational structure.
• Ability to influence decision-making by driving partnerships and alignment across the organizations.
• Delivered large programs with business process reengineering, Lean/Six Sigma, and problem-solving methodology.
• Experience in leading cross-functional teams and influencing stakeholders across a global organization.
• Two full life cycle experiences in business transformation programs.
• Outstanding communication at all levels across the organizations.

Preferred qualifications

• WFE or discrete manufacturing industry experience with ETO/CTO/MTO business model in high-volume manufacturing.
• Subject matter expertise in S&OP, order fulfillment, supply chain, logistics, and manufacturing desirable.
• Ability to analyze and interpret large data sets for decision support.
• Able to work with minimal direct guidance or direction.
• Ability to thrive in a dynamic and ambiguous environment.
• Understanding of best practices in the industry and application to real life.

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.

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