EAM Administrator

We are seeking a highly skilled and detail-oriented EAM Administrator to manage both master data and business software administration for our Enterprise Asset Management (EAM) system and related manufacturing applications. This dual-function role ensures data integrity, system reliability, and user enablement across our operations. The ideal candidate will bring strong analytical capabilities, technical proficiency, and a collaborative mindset to support business decision-making and operational efficiency.

Key Responsibilities:

Master Data Administration

• Assess and monitor data integrity, completeness, and adherence to established standards within the EAM system.
• Develop, implement, and maintain master data management tools, policies, procedures, and standards.
• Ensure compliance with data governance principles and industry best practices.
• Execute data cleansing initiatives to improve accuracy and usability.
• Collaborate with cross-functional teams to maintain high data quality and consistency.
• Advise leadership on data quality improvements to support strategic decision-making.
• Support additional manufacturing application tasks to ensure a full-time workload.

Business Software Administration

• Assist with the administration and maintenance of the EAM application and other manufacturing systems.
• Modify training materials and conduct user training sessions.
• Troubleshoot functional issues and provide user support.
• Develop and enhance reporting capabilities to meet business needs.
• Collaborate with business and IT partners on system enhancements, product issues, and outages.
• Oversee paperless workflows and mobile device utilization.
• Configure software to automate workflows and streamline user tasks.
• Support additional responsibilities as needed to maintain a full-time workload.

Qualifications:

• Minimum 4 years of experience in a data management or system administration role.
• Experience with CMMS and/or EAM/ERP (e.g., M3) systems preferred.
• Strong analytical and problem-solving skills.
• High attention to detail and commitment to data accuracy.
• Excellent communication and collaboration skills.

Preferred Skills:

• Proficiency in SQL and data analysis tools.
• Experience in a manufacturing environment.
• Familiarity with data governance frameworks and master data lifecycle management.
• Ability to manage multiple systems and prioritize tasks effectively.