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Philips

Lead Manufacturing Engineer - Digital Transformation

Philips is hiring a Lead Manufacturing Engineer - Digital Transformation in Singapore, Singapore. Level rates it ; you can apply on Philips.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Tools and skills the posting cites include AI agents.
  • Level classifies it as a lead role.
  • Level lists 786 other open roles at Philips.
  • The role was posted in the last few days.

AI in this role

ai-agents

Job Title

Lead Manufacturing Engineer - Digital Transformation

Job Description



The Lead Manufacturing Engineer - Digital Transformation contributes to the digital transformation roadmap and delivers digital and smart factory solutions that drive continuous improvement in the Philips Batam factory, in collaboration with internal and external partners.

Your role:


  • Roadmap & Project Execution: Contributes to the factory's digital transformation roadmap by identifying improvement opportunities and recommending solutions. Leads or delivers digital projects end-to-end, from requirements and design to deployment, user training and reporting, in partnership with cross-functional teams and internal and external stakeholders.
  • Digital & Smart Factory Solutions: Develops and integrates manufacturing systems, dashboards, applications and automated workflows to digitalise factory processes and enable timely, data-driven decisions. Evaluates and pilots Industry 4.0 technologies and use cases.
  • Continuous Improvement: Applies Lean and Six Sigma methods to analyse processes, identify root causes and measure the impact of digital solutions.
  • System Maintenance: Ensures reliable operation of digital solutions through compliance with IT and validation procedures, up-to-date documentation and user support.
  • Executes the above with embedded quality into the way of working with adherence to safety, cost regulatory and environmental requirements as well as local laws, Philips General Business principles and other policies

You're the right fit if you have:


  • Bachelor's Degree in Mechanical, Electrical ,Computer Science, Industrial Engineering or equivalent
  • Minimum 1 year of experience in Manufacturing, Operations, Engineering environment in a similar role
  • Hands-on experience with low-code platforms (e.g., Microsoft Power Platform) and/or programming and database skills (e.g., SQL, Python) to build applications and automate workflows.
  • Ability to collect, analyse and visualise manufacturing data, and to build dashboards (e.g., Power BI) that support timely, data-driven decisions.
  • Working knowledge of artificial intelligence (AI) and machine learning, and familiarity with generative AI tools and AI agents to automate tasks and improve decision-making.
  • Understanding of manufacturing systems (e.g., MES, ERP/SAP) and shopfloor connectivity, including basic system integration concepts.
  • Project management skills, including managing requirements, timelines and stakeholders across cross-functional teams.
  • Strong communication, documentation and user training skills, with awareness of IT change control, system validation and data security practices.


How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
Onsite roles require full-time presence in the company’s facilities.
Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.
This is an office based role.

About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
• Learn more about our business.
• Discover our rich and exciting history.
• Learn more about our purpose.
If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.



#EOS




How we rate this

Lead Manufacturing Engineer - Digital Transformation at Philips rates 23 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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