DT, PCG GSC E2E and Smart Manufacturing

We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com , and read about the latest news via our StoryHub . GSC&ISG DT (Digital Transformation) Location: Riyadh, Saudi Arabia Function: GSC & ISG DT Primary Support Site: Lenovo Saudi Arabia Smart Campus (SASC) Travel Requirement: Up to 30% international travel as business needs require. About Lenovo GSC &ISG DT Lenovo operates one of the world's largest manufacturing networks, spanning China, Saudi Arabia, Mexico, Japan, Brazil, and other global locations. As part of Lenovo's GSC& ISG DT organization, you will work directly with factory operations, business teams, and technology teams to drive manufacturing excellence, digital transformation, and operational improvements at our Saudi Arabia Smart Campus (SASC) manufacturing site. This role offers an exceptional opportunity to gain hands-on experience in factory operations, manufacturing systems, supply chain processes, and next-generation smart manufacturing initiatives. Position Summary The Manufacturing Digital Transformation Graduate will serve as a Digital Transformation Partner to the SASC factory, as well as META GSC business. The role focuses on supporting factory ramp-up, operational excellence, digital solution deployment, and continuous process improvement across manufacturing and supply chain operations. You will collaborate with factory leaders, operations teams, planning teams, quality teams, logistics teams, and global DT teams to help ensure a successful and sustainable GSC and manufacturing operation. Key Responsibilities Factory Partnership & Ramp-up Support - Serve as a Digital Transformation partner supporting SASC factory operations. - Support factory start-up, expansion, production ramp-up, and operational stabilization activities, System Adoption, problem-solving activities. Manufacturing & Supply Chain Transformation - Support end-to-end process improvement initiatives across manufacturing and supply chain functions. - Analyze business processes and identify opportunities for simplification, standardization, and automation. Digital Solution Deployment - Support deployment and enhancement of manufacturing and supply chain solutions including: MES, SAP, APS, IOT, Digital Twins etc. - Participate in requirements gathering, testing, training, user support, and hypercare activities. - Partner with business users to maximize system adoption and business value realization. Data Analytics & Business Insights - Analyze operational and manufacturing data to identify trends, risks, and improvement opportunities. - Translate business requirements into data-driven insights and recommendations. Smart Manufacturing & AI Innovation - Support smart manufacturing initiatives involving automation, AI, digital twins, and advanced analytics. - Participate in proof-of-concept and pilot projects for emerging technologies. Qualifications Education Bachelor’s or master’s degree in (preferred): - Industrial Engineering - Computer Science - Supply Chain Management - AI Related Preferred Qualifications - Strong interest in manufacturing operations and factory environments. - Passion for digital transformation and technology-enabled business improvement. - Strong analytical and problem-solving skills. - Ability to work in a fast-paced and rapidly changing environment. - Excellent communication and stakeholder management skills. - Strong teamwork and collaboration mindset. - Fluent English communication skills. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class. AI PROCESSING NOTICE We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purpose

Bachelor’s or master’s degree in Industrial Engineering, Computer Science, Supply Chain Management, or AI related field. Strong analytical and problem-solving skills. Ability to work in a fast-paced and rapidly changing environment. Excellent communication and stakeholder management skills. Strong teamwork and collaboration mindset. Fluent English communication skills.

Serve as a Digital Transformation partner supporting SASC factory operations. Support factory start-up, expansion, production ramp-up, and operational stabilization activities, system adoption, problem-solving activities. End-to-end process improvement initiatives across manufacturing and supply chain functions. Analyze business processes and identify opportunities for simplification, standardization, and automation. Support deployment and enhancement of manufacturing and supply chain solutions including MES, SAP, APS, IoT, Digital Twins etc. Participate in requirements gathering, testing, training, user support, and hypercare activities. Partner with business users to maximize system adoption and business value realization. Analyze operational and manufacturing data to identify trends, risks, and improvement opportunities. Translate business requirements into data-driven insights and recommendations. Support smart manufacturing initiatives involving automation, AI, digital twins, and advanced analytics. Participate in proof-of-concept and pilot projects for emerging technologies.