Data Governance Specialist - Hybrid Role

Lozier

Omaha (NE)

Hybrid

USD 55,000 - 75,000

Full time

3 days ago
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Benefits offered by this job

Bonus potential
Paid time off
Medical, dental, and vision benefits
401(k) with employer match
Employee Assistance Program
Educational Assistance Program
Career development programs
Casual dress
Hybrid schedule after training

Job summary

Lozier is seeking a Data Governance Coordinator in Omaha, NE. The role focuses on accurate creation and maintenance of item master data, BOMs and routes, plus cost data for new and existing products. The position requires ERP experience and an associate degree in a relevant field.

A hybrid schedule is available after training. Ideal candidates will show data policy understanding, strong math and office skills, and the ability to collaborate across departments to ensure data integrity and cost

Qualifications

  • Associate degree preferred; required if non-degreed candidates are not eligible.
  • Minimum 2 years of experience in ERP systems, production planning, engineering or costing/labor standards.

Responsibilities

  • Create and maintain item master data, BOMs, and routes in the corporate database.
  • Accumulate and verify costs for new items and for design/manufacturing changes.
  • Ensure data integrity and compliance with data policies; coordinate corrective actions.
  • Collaborate cross-functionally to achieve results and maintain data support.
  • Demonstrate regular attendance and timely reporting.

Skills

Mathematics proficiency
Data policies interpretation
Microsoft Office
Strong communication

Education

Associate degree in Computer Science/IT/Data Analytics or related field

Tools

ERP systems
Costing/Labor standards

Job description

Lozier is seeking a Data Governance Coordinator in Omaha, NE. The role focuses on accurate creation and maintenance of item master data, BOMs and routes, plus cost data for new and existing products. The position requires ERP experience and an associate degree in a relevant field.

A hybrid schedule is available after training. Ideal candidates will show data policy understanding, strong math and office skills, and the ability to collaborate across departments to ensure data integrity and cost

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