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Lead, Smart Factory
2 weeks ago
**Date Posted**:
2025-04-18
**Country**:
Singapore
**Location**:
18 Bedok South Road, Singapore
**Position Role Type**:
Unspecified
**Roles and Responsibilities**
- Lead the deployment and scaling of smart factory system within the project’s budget and schedule.
- Drive the integration of factory systems (e.g., MES, ERP, APS) with IoT platforms and ensure real-time data visibility and communication across the production environment.
- Generate impact assessments (Budget, schedule, technical) for the program change board.
- Provide regular reviews with Project Leadership
- Collaborate all functions to define the scope of the smart factory initiatives, including specific technologies and systems to be implemented.
- Develop a detailed project plan outlining milestones, deliverables, timelines, and resource allocation.
- Create and manage the budget for smart factory projects, ensuring cost-effectiveness and adherence to financial constraints.
- Develop training programs for staff to effectively use new technologies and provide ongoing support.
- Identify potential risks and develop mitigation strategies to ensure project success.
- Develop and maintain a roadmap for continuous innovation, maintenance, and enhancement of the smart factory operating systems and software.
- Regularly report on project progress, performance metrics, and outcomes to senior management and other stakeholders.
- Identify people resources required to meet schedule and communicating to the PMO.
- Review, develop and implement systems and procedures which comply with Global Trade requirements
**Qualification and Education Requirements**
- Bachelor’s Degree in Engineering, Manufacturing, Digital Technology, Computer Science or related discipline
- Strong leadership and team management skills, with a track record of motivating and developing teams.
- In-depth knowledge of connected factory technologies, such as IoT platforms & connectivity, cross-platform protocols connectivity, automation systems, MES, ERP, and data analytics tools.
- Project management skills, including experience with Agile or EVM methodologies.
- Excellent problem-solving, analytical, and decision-making abilities.
- Strong communication and interpersonal skills to work across functions and engage with stakeholders at all levels.
- Familiarity with industry standards, safety regulations, and best practices in manufacturing and technology.
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