Micron Technology

Global Facilities Data Analytics Program Manager

Micron Technology
Integrated Device ManufacturingSingapore, SingaporeOnsitePosted 2 months ago

About the role

Global Facilities Data Analytics Program Manager role based on the published job description. Key responsibilities and requirements were extracted directly from the posting for quick review.

IDMOnsiteFront End

Key Responsibilities

  • Enterprise data architecture, advanced analytics, dashboard development, and automation initiatives. This role requires strong technical expertise in designing and deploying complex PowerBI dashboards in enterprise environments. This role requires a strong data management background and the ability to translate complex data into concise summaries and dashboards. You should be detail‑oriented, with the capability to deliver clear, high‑quality data analysis that supports leadership decision‑making. A solid understanding of data is essential to identify opportunities for data optimization and benchmarking. The role also requires flexibility, the ability to maintain global relationships, and strong communication and presentation skills. Major Job Responsibilities: Data Governance and Architecture
  • Design scalable enterprise data models and reporting frameworks.
  • Establish KPI definitions and structured data logic.
  • Ensure data integrity, performance optimization, and governance standards.
  • Drive reporting automation and digital transformation initiatives. Advanced Dashboard Development
  • Design and develop complex PowerBI dashboards with multi-layered data models.

Requirements

  • Proven track record of independently delivering complex, enterprise‑scale BI solutions.
  • Strong expertise in data modeling, semantic layer design, and scalable analytics architecture.
  • Ability to design analytical solutions beyond basic reporting use cases.
  • Demonstrated ownership of end‑to‑end dashboard delivery, from data ingestion through production deployment.
  • Strong problem‑solving skills with the ability to structure ambiguous and complex data challenges into clear analytical frameworks.
  • Experience working effectively in cross‑functional and global environments.