Senior Eng/Engineer, Global Front End Planning SG Satellite Scenario and Capital

As a Satellite Planning Engineer, you will collaborate with various central and site stakeholders to conduct strategic scenario and capital planning analyses, playing a pivotal role in Fab Scenario Optimization Studies, Business Planning, Supply Chain planning, and key processes such as Sales & Operations Planning (SnOP) and Model of Record (MOR).

You will partner closely with Site Industrial Engineering (IE), Site Inventory Control (SIC), New Product Introduction (NPI), and Finance teams to ensure alignment on fab loading commitments, manufacturing capability, pilot line loading plans, cost per wafer input, and business plan proposals.

This role demands exceptional strategic planning skills, strong analytical thinking, and creativity in applying optimization methodologies to determine optimum loading, capital efficiency, and sweet-spot studies. You will leverage structured data analysis to understand market conditions, develop optimal loading plans, and provide data-driven recommendations that support executive decision-making and business success.

Most importantly, you should have a deep understanding of capacity planning, business processes, and capital optimization, with the ability to identify improvement opportunities through scenario analysis and automation. The ideal candidate embraces AI-enabled ways of working by leveraging AI-powered analytics, decision-support tools, and intelligent automation to accelerate insights, improve forecast accuracy, streamline planning processes, and eliminate manual errors while driving greater business efficiency and operational excellence.

Responsibilities and Tasks:

[Scenario]

• Apply optimization concept and technique to ensure optimal loading volume across horizon able to meet target bit (GB) and market share while considering new technode qualification milestone and ramp planning.

• Apply industrial engineering concepts to model the capacity thresholds to support existing and future technology

• Ensure all the required scenario options are well analyzed. Call out opportunities and propose options for better return scenario

• Collaborate with Central teams to plan capacity requirements of future products and to quantify the impact on existing and future capital spend

• Using qualitative and quantitative analysis to explain scenario cause - effect relationship for tooling purchase and capital impact differences

• Provide yellow field Cost of Transition (CoT) for each technode and understand the correlation between theoretical CoT vs actual CoT

• Defining new technode CoT and understanding the gap between budget vs actual technode capex

• Adhere to calendar requirements and agreements with respect to Business Planning Process

• Flexible and agile to changes in Business Planning

• Coordinate with all relevant stakeholders to ensure all the parameters updates are in place so that can be utilized correctly for quarterly business plan study

• Create, Maintain and update Satellite Sharepoint

• Strive to streamline business efficiency and eliminate manual errors through task automation and simplification.

• Manage complex projects across several different departments and sites

• Manage databases, scenario ownership and change control

• Analyze data to support financial decisions

[Capital]

• Perform baseline capital spend analysis to ensure overall cashflow across Fiscal Year is kept neutral (unless driven by loading change)

• Improve capital spend forecast accuracy with site Planning/Procurement/Facilities

• Monitor actual spend performance vs projection for current and upcoming quarter with target variance of +- 5%

• Monitor and understand with site stakeholders on the reasons for unexpected capital spend changes across fiscal year

• Work with site stakeholders to ensure accurate planning and supplier delivery date data inside Capital Asset Lifecycle Management (CALM)

• Highlight any potential cashflow reduction or savings opportunities

• Keep track of the technode capex

• Work with site stakeholders to ensure actual Scenario Study bottoms up and eventual itemization is as per approved executive review targets

• Coordinate the CALM simulations with site stakeholders and ensure the simulations are able achieve net neutral and complete within committed timeline

• Develop capital related dashboards to achieve automated data visualization and assist in a more in-depth analysis of site capital expenditure details

Requirements:

• Min 2-3 years experience in semiconductor capacity planning (IE) or strategic planning team is preferred.

• Master/Bachelor's Degree in Industrial Engineering, Manufacturing engineering, mechanical engineering, chemical engineering or related fields.

• Proficiency in AI-enabled analytics and productivity tools (e.g., Microsoft Copilot, Power BI AI capabilities, Python-based analytics) to enhance planning efficiency, data analysis, and decision-making.

• Ability to apply AI, advanced analytics, and Industrial Engineering methodologies to optimize loading strategies, capital allocation, scenario evaluation, and business process automation.

• Experience developing AI-assisted automation, dashboards, and reporting solutions to improve forecast accuracy, reduce manual effort, and streamline planning processes.

• Strong ability to perform data analysis and problem solving

• Strong data validation skills and reporting skills

• Ability to map relevant conclusions to support decision making

• Ability to work closely and effectively with others in a team environment

• Strong verbal communication and presentation skills

• Independence and high determination to complete tasks in a timely manner

• Skillful in Microsoft Office particularly Excel as well as Sharepoint management.

• Knowledge and practical application of statistics, data analysis and problem solving

• Proficiency in developing dashboards and reports using Tableau and Power BI

• Experience in python coding will be a plus point.

Working location:

• 1, North Coast Drive, Singapore 757432