Asset Intelligence Engineer - Digital Manufacturing

The Hershey Company

Memphis (TN)

On-site

USD 120,000 - 160,000

Full time

14 days+
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Benefits offered by this job

Health & Wellbeing
401(k) match
Paid time off
Career development

Job summary

The Hershey Company’s Memphis plant seeks an Asset Data Integration & Intelligence Leader to advance plant performance through digital manufacturing, real-time analytics, and asset intelligence. You will work with operations, reliability, quality, and engineering to develop digital asset twins and integrate machine data using the AVEVA PI System to drive business results.

You will design dashboards, data pipelines, and analytics that improve equipment reliability and process performance, while

Qualifications

  • 3+ years in engineering, controls, manufacturing systems.
  • Experience with manufacturing data integration and analytics.
  • Experience with industrial control systems and SCADA.
  • Strong data visualization and reporting skills.
  • Ability to manage multiple projects.

Responsibilities

  • Lead asset data integration initiatives within the Memphis plant.
  • Develop digital asset twins and asset intelligence solutions.
  • Design and support PI Vision dashboards and analytics for real-time visibility.
  • Create asset framework analyses and statistical models for data-driven decisions.
  • Collaborate with engineering, IS, and AVEVA support to drive improvements.

Skills

Data integration
Industrial data systems
PI System
Dashboards & analytics
Problem solving

Education

Bachelor’s degree in Engineering

Tools

AVEVA PI System
PI Vision
PI DataLink
SCADA/HMI
SQL

Job description

The Hershey Company’s Memphis plant seeks an Asset Data Integration & Intelligence Leader to advance plant performance through digital manufacturing, real-time analytics, and asset intelligence. You will work with operations, reliability, quality, and engineering to develop digital asset twins and integrate machine data using the AVEVA PI System to drive business results.

You will design dashboards, data pipelines, and analytics that improve equipment reliability and process performance, while

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