Digital Manufacturing Reliability Lead

Kellanova

Michigan

On-site

USD 81,000 - 107,000

Full time

14 days+
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k) plan

Job summary

Kellanova is seeking a Manufacturing Reliability Digital Lead to champion the digital factory, drive data-driven decisions, and collaborate across Operations, Maintenance, Reliability, Engineering, IT, Finance, and Continuous Improvement to enhance plant performance.

In this role you will administer digital systems, develop performance dashboards, and lead technology deployments and training. A strong background in manufacturing analytics and cross-functional teamwork is essential for success.

Qualifications

  • Requires hands-on experience with manufacturing digital systems and dashboards.
  • Experience leading technology deployments or digital transformation initiatives.

Responsibilities

  • Digital System Administration – Manage and maintain Smart Factory, PI Vision, Power BI and related systems.
  • Performance Reporting & Analytics – Build dashboards, KPIs, scorecards, and visual reporting tools.
  • Systems Integration & Automation – Support PI tags, data connections, and system integrations.
  • Reliability & Loss Analysis – Analyze manufacturing data for root-cause investigations and improvement.
  • Technology Deployment & Training – Lead implementation, onboarding, and user training for digital tools.

Skills

Power BI
Excel
Data analytics
Manufacturing operations
Digital transformation
Troubleshooting
Team collaboration

Education

High School Diploma or GED

Tools

PI Vision
Proficy Historian
Smart Factory
Power BI

Job description

Kellanova is seeking a Manufacturing Reliability Digital Lead to champion the digital factory, drive data-driven decisions, and collaborate across Operations, Maintenance, Reliability, Engineering, IT, Finance, and Continuous Improvement to enhance plant performance.

In this role you will administer digital systems, develop performance dashboards, and lead technology deployments and training. A strong background in manufacturing analytics and cross-functional teamwork is essential for success.

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