About The Position

The Principal Business Analyst in the Smart Manufacturing & AI (SMAI) organization drives Industry 4.0, digital transformation, and sophisticated analytics initiatives for Front‑End (FE) operations and planning. This role partners closely with FE operations, planning, engineering, supply chain, and global collaborators to deliver scalable solutions that improve wafer output, cycle time, prioritization, and network‑level decision making.

Requirements

  • Master’s degree or equivalent experience, along with 5+ years’ experience in Front‑End semiconductor manufacturing, operations planning, or industrial engineering.
  • Experience with digital transformation, planning systems, optimization, simulation, or industrial analytics.
  • Proven track record to lead multi-functional projects delivering measurable improvements in output, cycle time, or capacity efficiency.
  • Good communication, engagement, and influence skills across global teams and leadership levels.
  • Experience with SQL, PowerBI, Java, Python and AI Solutions

Nice To Haves

  • Highly organized and adaptable with the ability to handle and prioritize numerous tasks.
  • Experience working in a high tech semiconductor environment.
  • PM certification, SCRUM Master

Responsibilities

  • Collaborate with the management of early-stage operations, planning groups, and engineering teams to identify improvement opportunities across cycle time, output, bottleneck management, and fab efficiency.
  • Define and deliver front-end digital solutions including digital twin models, optimization engines, simulation workflows, and decision‑support tools.
  • Integrate front-end digital capabilities with supply chain systems to support short‑term tactical wafer starts, strategic wafer starts, long‑range planning, network supply allocation, and cost/space optimization.
  • Lead requirement definition for FE planning solutions such as localized and global resource planning, constraint analysis, and scenario simulation.
  • Partner with Data Scientists, Data Engineers, and architects to deliver analytics, modeling, automation, and machine learning solutions.
  • Engage external vendors providing commercial optimization, simulation, industrial analytics, and decision-support applications; confirm consistency with engineering and planning needs.
  • Influence cross‑site alignment with front-end development authority groups, factory operations, and supply chain partners to ensure consistent adoption and business impact.
  • Use data and critical metrics to assess performance, quantify benefits, and guide operational and strategic decision‑making.

Benefits

  • Choice of medical, dental and vision plans
  • Benefit programs that help protect your income if you are unable to work due to illness or injury
  • Paid family leave
  • Robust paid time-off program
  • Paid holidays
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