PLM Solution Analyst

Lam Research•Fremont, CA
•$114,000 - $253,000•Hybrid

About The Position

The PLM Solution Analyst will join Lam Research’s Global Information Systems Group and Office of Digital Transformation to help advance the company’s digital landscape. The role partners with business and technology teams to improve how connected digital tools, data, and processes support product development and operational efficiency. It supports the transformation of engineering and product development processes, technology adoption, and cross-functional alignment, helping improve employee and customer experiences, productivity, and business outcomes. The position contributes to initiatives spanning the New Product Introduction lifecycle, Model-Based Systems Engineering, digital twins, digital thread, Engineer-to-Order and Configure-to-Order processes, product configuration, and options management. It collaborates with teams across Engineering, Manufacturing, Quality, Quoting, IT, and Product Management, and participates in business transformation and technology implementation projects. The role also evaluates and implements technology solutions, supports integration of AI, machine learning, and analytics into business processes, and promotes best practices, continuous improvement, and change management. Lam describes its work location models as hybrid, with On-site Flex roles working at least three days per week on-site and Virtual Flex roles working one to two days per week on-site, with remote work the rest of the week. The posting does not specify which model applies to this role. The stated salary range applies only to applicants who reside or work on-site in the California San Francisco Bay Area; offers depend on factors including location, level, education, training, skills, experience, and comparison to others in the role.

Requirements

  • Bachelor’s degree in Business, Computer Science, Engineering, Mathematics, Statistics, or a related field.
  • 6–8 years of experience in operations, business process improvement, digital transformation, or systems implementation within complex organizations.
  • Understanding of product lifecycle management, product portfolio management, manufacturing, or engineering processes.
  • Experience working with enterprise platforms such as Siemens Teamcenter and NX.
  • Knowledge of New Product Introduction, product configuration, BOM management, lifecycle management, workflows, and approval processes.
  • Familiarity with system implementation methodologies and software development lifecycle concepts.
  • Strong analytical and problem-solving skills, including the ability to navigate ambiguity and changing priorities.
  • Experience identifying process improvement opportunities and evaluating new tools or technologies.
  • Effective communication skills, including translating complex concepts into business value and building stakeholder alignment.
  • Strong collaboration and relationship-building skills, with a track record of influencing cross-functional teams.
  • Understanding of industry best practices and ability to apply them to practical business challenges.
  • Working knowledge of end-to-end business processes and data connectivity across functions.
  • Curiosity, a growth mindset, and a passion for continuous improvement and innovation.

Nice To Haves

  • Master’s degree or MBA.
  • Experience in consulting, business transformation, or process improvement roles.
  • Experience working in complex, fast-paced manufacturing or product development environments.
  • Familiarity with AI and machine learning concepts and their business applications.
  • Experience with SAP or other ERP platforms.

Responsibilities

  • Partner with business and technology teams to improve connected digital tools, data, and processes supporting product development and operational efficiency.
  • Support transformation of engineering and product development processes by identifying future-state capabilities and helping drive cross-functional alignment.
  • Apply knowledge of the New Product Introduction lifecycle, from concept through commercialization, to improve process efficiency and business outcomes.
  • Contribute to adoption of modern engineering practices, including Model-Based Systems Engineering, digital twins, and digital thread initiatives.
  • Support improvements to Engineer-to-Order and Configure-to-Order processes, product configuration, and options management.
  • Collaborate with Engineering, Manufacturing, Quality, Quoting, IT, and Product Management on process enhancements and user adoption.
  • Participate in business transformation and technology implementation projects that improve productivity, scalability, and digital adoption.
  • Evaluate and implement technology solutions that simplify processes, improve data quality, and enhance user experience.
  • Support integration of AI, machine learning, and analytics into business processes to improve decision-making, operational insights, and speed to market.
  • Promote best practices, continuous improvement, and change management while helping teams adapt to new tools and ways of working.

Benefits

  • Lam states that it offers a comprehensive set of benefits, but the posting does not specify individual benefits.
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