Global Information Systems | Digital Transformation | Process Excellence and Delivery team
The Delivery Lead, Digital Transformation, will be responsible for driving execution of enterprise-wide business transformation initiatives across Product Lifecycle Management, Supply Chain, Manufacturing, Customer Sales, and Service Operations. The role will lead delivery of business capabilities across SAP and non-SAP applications by partnering with business stakeholders, product owners, architects, functional teams, and external implementation partners.
Digital Transformation Delivery
Lead execution of Digital Transformation initiatives across multiple business functions and application platforms.Drive delivery of business capabilities across SAP and non-SAP systems aligned to enterprise transformation objectives.Manage end-to-end delivery activities including requirements, solution design, development, testing, deployment, and adoption.Partner with business, IT, and vendor teams to ensure successful implementation of prioritized capabilities.Drive Agile delivery practices and incremental release of business value.
Business Process Leadership
Demonstrate deep expertise in at least two core business process areas and working knowledge across interconnected enterprise functions.Translate business strategies and requirements into scalable digital solutions.Drive process optimization, standardization, and harmonization across business functions.Ensure alignment between business process design, application capabilities, and transformation objectives.Identify opportunities to simplify operations and improve business performance through technology enablement.
Cross-Functional Leadership
Coordinate delivery across business stakeholders, architects, product teams, data teams, and implementation partners.Facilitate decision-making and issue resolution across globally distributed teams.Establish strong working relationships that foster collaboration and accountability.Influence outcomes across organizations without direct authority.
AI, Innovation & Continuous Improvement
Support leadership in building digital transformation and innovation capabilities.Identify opportunities to leverage AI, Analytics, and Automation to improve business outcomes.
Minimum Qualifications
Bachelor’s degree in engineering, Computer Science, Information Systems, Manufacturing, Supply Chain, or related field.
8+ years of experience in Digital Transformation, Enterprise Applications, Operations Consulting, or Technology Delivery
Experience leading large-scale business and systems transformation programs
Deep expertise in at least two of the following:
- Product Lifecycle Management (PLM)
- Supply Chain Management
- Manufacturing Operations
- Customer Sales & Order Management
- Service Operations
Experience delivering solutions across SAP and non-SAP application ecosystems.
Strong understanding of system implementation lifecycles and Agile delivery methodologies.
Experience working in matrixed global organizations and driving delivery through cross-functional teams.
Experience with SAP S/4HANA, SAP ERP, PLM, MES, and enterprise integration platforms.
Experience in consulting firms or large-scale global transformation programs.
Experience supporting Center of Excellence (CoE) initiatives.
Understanding of AI, Machine Learning, Intelligent Automation, and advanced analytics solutions.
Experience within high-growth manufacturing, technology, engineering, or semiconductor industries.
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.
Skills Required
- Bachelor's degree in engineering, Computer Science, Information Systems, Manufacturing, Supply Chain, or a related field
- 8+ years of experience in digital transformation, enterprise applications, operations consulting, or technology delivery
- Experience leading large-scale business and systems transformation programs
- Deep expertise in at least two of the following: Product Lifecycle Management, Supply Chain Management, Manufacturing Operations, Customer Sales and Order Management, or Service Operations
- Experience delivering solutions across SAP and non-SAP application ecosystems
- Strong understanding of system implementation lifecycles and Agile delivery methodologies
- Experience working in matrixed global organizations and driving delivery through cross-functional teams
- Experience with SAP S/4HANA, SAP ERP, PLM, MES, and enterprise integration platforms
- Experience in consulting firms or large-scale global transformation programs
- Experience supporting Center of Excellence initiatives
- Understanding of AI, machine learning, intelligent automation, and advanced analytics solutions
- Experience within high-growth manufacturing, technology, engineering, or semiconductor industries
Lam Research Corporation Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lam Research Corporation and has not been reviewed or approved by Lam Research Corporation.
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Parental & Family Support — Parental leave is described as 16 weeks fully paid for all new parents, with birth mothers averaging about 26 weeks total; adoption assistance and subsidized backup childcare are also included. These programs are consistently highlighted as standout elements of the package.
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Healthcare Strength — Medical options span PPO, CDHP, and HMO choices with company HSA funding, alongside dental and vision coverage. Coverage quality and breadth are emphasized, supported by wellbeing resources such as an EAP.
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Equity Value & Accessibility — An ESPP with a discount and look-back/reset features is highlighted, and many technical roles include RSUs and bonuses that lift total compensation. These equity mechanisms are frequently cited as meaningful components of total rewards.
Lam Research Corporation Insights
What We Do
Lam Research Corp. (NASDAQ:LRCX) is a global supplier of innovative wafer fabrication equipment and services to the semiconductor industry. The world's leading companies trust us as their valued partner because we bring together technology leadership, a strong values-based culture, and an unwavering commitment to prove our customers’ next big breakthrough. Our impact on the world can be seen all around us, as nearly every advanced chip today is built with our technology. Through collaboration, precision, and our commitment to delivery, we are transforming atomic-scale engineering and driving semiconductor breakthroughs that define the next generation. Lam Research Social Media Guidelines: By using or accessing this page, you agree to comply with LinkedIn’s Terms and Conditions. While we welcome participation and engagement, it is important to note that postings and/or comments by followers to Lam’s LinkedIn page do not necessarily reflect the opinions of Lam, nor does Lam confirm their accuracy. We expect that participants post content and commentary that is both relevant and respectful to this community as a whole. Lam reserves the right to remove any posts and/or comments that do not adhere to our guidelines and to block anyone who violates them repeatedly. Specifically, we do not tolerate these kinds of posts: • Abusive, harassing, stalking, threatening or attacking others • Defamatory, offensive, obscene, vulgar or depicting violence • Hateful in language targeting race/ethnicity, religion, gender, nationality or political beliefs • Fraudulent, deceptive, misleading or unlawful • Violations of any intellectual property rights • Spamming in nature • Commercial solicitation or solicitation of donations • Link baiting (embedding a link in your post to draw traffic to your own site) View Lam’s Online Privacy Notice Summary : https://www.lamresearch.com/privacy/
