Staff Frontend Data Engineer — Process Mining & AI

Micron; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Micron Technology, Inc. seeks a data engineering professional to drive a first-of-its-kind process mining capability. You will set up Digital Footprint analytics across 10+ front-end teams globally, designing dashboards and visualizations that translate into actionable insights.

You will lead AI-driven labor optimization initiatives, standardize digital processes, and collaborate with cross-site teams to deliver measurable productivity improvements and annualized savings.

Qualifications

• Degree in Engineering, Industrial Engineering, Statistics, Business, or related field.
• Strong analytical skills and business insight with GenAI concepts.
• Experience solving business problems and leading cross-functional teams.
• Experience delivering automation and low-code solutions (Power Automate, Copilot Studio, UiPath).
• Proficiency with Microsoft 365 and data visualization tools like Power BI.

Responsibilities

• Drive first-of-a-kind process mining capability using Digital Footprint across 10+ teams.
• Design data visualizations that translate into actionable insights.
• Lead standardization of digital processes for scalable execution.
• Develop metrics dashboards and management reporting for progress and benefits.
• Monitor labor productivity and forecast workload with AWMS data.

Skills

GenAI concepts

Data analytics

Stakeholder collaboration

Education

Bachelor's degree or higher in Engineering / Industrial Engineering / Statistics / Business

Tools

Power Automate

Copilot Studio

UiPath

SQL

Power BI

Excel

Job description

Micron Technology, Inc. seeks a data engineering professional to drive a first-of-its-kind process mining capability. You will set up Digital Footprint analytics across 10+ front-end teams globally, designing dashboards and visualizations that translate into actionable insights.

You will lead AI-driven labor optimization initiatives, standardize digital processes, and collaborate with cross-site teams to deliver measurable productivity improvements and annualized savings.