DT Business Process Design Associate Specialist
Role Overview
The role supports digital transformation for the SASC factory and META GSC business.
The work focuses on factory ramp-up, operational excellence, digital solution deployment, and continuous improvement across manufacturing and supply chain operations.
The role collaborates with factory leaders, operations, planning, quality, logistics, and global digital transformation teams.
The primary support site is Lenovo Saudi Arabia Smart Campus in Riyadh, Saudi Arabia.
International travel of up to 30% may be required as business needs require.
Key Skills for This Role
Full Job Posting
Position overview
The role supports digital transformation for the SASC factory and META GSC business.
The work focuses on factory ramp-up, operational excellence, digital solution deployment, and continuous improvement across manufacturing and supply chain operations.
The role collaborates with factory leaders, operations, planning, quality, logistics, and global digital transformation teams.
The primary support site is Lenovo Saudi Arabia Smart Campus in Riyadh, Saudi Arabia.
International travel of up to 30% may be required as business needs require.
Factory and process transformation
- Support factory start-up, expansion, production ramp-up, operational stabilization, system adoption, and problem solving.
- Support process improvement across manufacturing and supply chain functions.
- Analyze business processes to identify simplification, standardization, and automation opportunities.
Digital solutions and analytics
- Support deployment and enhancement of MES, SAP, APS, IoT, digital twins, and other manufacturing and supply chain solutions.
- Participate in requirements gathering, testing, training, user support, and hypercare.
- Analyze operational and manufacturing data and translate business requirements into insights and recommendations.
- Support smart manufacturing automation, AI, digital twin, and advanced analytics initiatives, including proofs of concept and pilots.
Preferred qualifications
- A bachelor’s or master’s degree in Industrial Engineering, Computer Science, Supply Chain Management, or an AI-related field is preferred.
- Preferred strengths include manufacturing interest, digital transformation enthusiasm, analytical problem solving, adaptability, communication, stakeholder management, teamwork, and collaboration.
- Fluent English communication skills are preferred.
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