Staff Front-End Data Engineer | Process Mining & AI

Micron Technology, Inc; Singapore; On-site; SGD 110,000 - 170,000; Full time

Job summary

Micron Technology, Inc. in Singapore is seeking a Staff Engineer for Front End Labor Data Engineering to advance a first-of-a-kind process mining capability.

You will capture Digital Footprint data across many teams, design intuitive dashboards, and collaborate with business and IT leaders to drive productivity gains that scale with enterprise goals. Your role involves leading AI-driven improvements, standardizing digital processes across sites, and delivering measurable labor-hour savings while

Qualifications

• Degree in Engineering, Industrial Engineering, Statistics, Business, or related field, or equivalent experience.
• Demonstrated ability in semiconductor processes and systems.
• Strong analytical skills, business insight, leadership, and knowledge of GenAI concepts.

Responsibilities

• Drive First-Of-A-Kind process mining capability across 10+ functional teams, scaling with speed.
• Design data visualizations that translate into actionable insights and support decision making.
• Lead standardization of digital processes across sites to enable scalable execution.
• Develop critical metric dashboards and management reporting to show progress and benefits.
• Support workload forecasting, productivity baselining, and scenario modeling.

Skills

Data engineering

Process mining

AI/GenAI concepts

Data visualization

Program management

Stakeholder management

Microsoft 365

Power BI

Education

Degree in Engineering or related field

Tools

Power Automate

Copilot Studio

UiPath

SQL

Job description

Micron Technology, Inc. in Singapore is seeking a Staff Engineer for Front End Labor Data Engineering to advance a first-of-a-kind process mining capability.

You will capture Digital Footprint data across many teams, design intuitive dashboards, and collaborate with business and IT leaders to drive productivity gains that scale with enterprise goals. Your role involves leading AI-driven improvements, standardizing digital processes across sites, and delivering measurable labor-hour savings while