Lam Research
Website:
lamresearch.com
Company:
https://www.linkedin.com/company/lam-research
Seniority: Not Applicable
Industries: Semiconductor Manufacturing
Job details:
The group you’ll be a part of
In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry.
The impact you’ll make
In this role, you will lead Lam India’s Data Science & Analytics teams to deliver enterprise-wide analytics, automation, and AI/ML solutions that accelerate decision-making across Business function (Global Operations, Product groups). You will shape the future of Lam’s analytics capabilities by building high-performing teams, driving technical excellence, and enabling scalable, impactful solutions aligned with business needs.
What You’ll Do
- Lead multiple analytics sub-teams across Data Engineering, Data Science, Automation, Application Development, Data Analysis, and Data Architecture.Own analytics delivery for Product Groups (Deposition, Etching) and Global Operations (Supply Chain, Manufacturing, Engineering Services, Spares Operations) and Customer Service.
- Build and develop high-performing teams through structured talent development, performance management, coaching, and capability building
- Drive delivery excellence by meeting KPIs such as cycle time, first-time-right, quality, and operational stability.Partner with business stakeholders to provide actionable insights, influence decision-making, and shape problem statements for optimal outcomes.
- Lead council and sprint planning meetings; maintain a transparent, prioritized backlog and ensure effective agile delivery.Collaborate with business analysts, business program teams, and IT to define requirements, standardize data models, and ensure single-source-of-truth data.
- Guide the team in designing AI/ML, advanced analytics, and automation solutions using cloud platforms (Azure preferred).Provide hands-on direction for complex problem-solving, ad hoc analysis, quick PoCs, and cross-functional issue resolution.
- Monitor production systems, drive corrective and preventive actions, and proactively address data health issues.Create and deliver executive-level presentations, recommendations, and updates to stakeholders.
Who We’re Looking For
- Lead multiple analytics sub-teams across Data Engineering, Data Science, Automation, Application Development, Data Analysis, and Data Architecture.
- Own analytics delivery for Product Groups (Deposition, Etching) and Global Operations (Supply Chain, Manufacturing, Engineering Services, Spares Operations) and Customer Service.
- Build and develop high-performing teams through structured talent development, performance management, coaching, and capability building.Ensure solutions adhere to enterprise architecture, security requirements, coding standards, and best practices.Drive delivery excellence by meeting KPIs such as cycle time, first-time-right, quality, and operational stability.Partner with business stakeholders to provide actionable insights, influence decision-making, and shape problem statements for optimal outcomes.
- Lead council and sprint planning meetings; maintain a transparent, prioritized backlog and ensure effective agile delivery.Collaborate with business analysts, business program teams, and IT to define requirements, standardize data models, and ensure single-source-of-truth data.
- Guide the team in designing AI/ML, advanced analytics, and automation solutions using cloud platforms (Azure preferred).Provide hands-on direction for complex problem-solving, ad hoc analysis, quick PoCs, and cross-functional issue resolution.
- Monitor production systems, drive corrective and preventive actions, and proactively address data health issues.Create and deliver executive-level presentations, recommendations, and updates to stakeholders.Lead process improvement initiatives by analysing business workflows and identifying optimization or automation opportunities.Evaluate and adopt modern analytics technologies, tools, frameworks, and AI advancements to strengthen the organization’s capabilities.
Preferred Qualifications
- Experience in Hi-Tech, semiconductor, or manufacturing industries.
- Experience designing enterprise-grade AI/ML/Automation solutions using cloud technologies (Azure, AWS, GCP).
- Familiarity with big data technologies such as Hadoop, Spark.
- Expertise in prompt engineering and leveraging modern AI/ML platforms.
- Track record of implementing advanced analytics, AI/ML/DL solutions at global scale.
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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