What are the responsibilities and job description for the Manufacturing Data Remediation Engineer position at Efor Group?
Role Overview:
We are seeking a Manufacturing Data Remediation Engineer to support manufacturing operations by remediating and optimizing data, ensuring compliance, and improving data integrity across systems. The ideal candidate will have hands-on experience in data management within manufacturing environments and a solid understanding of regulatory requirements.
Key Responsibilities:
Assess, identify, and remediate inconsistencies, inaccuracies, and gaps in manufacturing data across systems and records.
Develop and implement remediation strategies for legacy and operational data to meet regulatory and quality requirements.
Collaborate with manufacturing, quality assurance, IT, and engineering teams to collect, validate, and cleanse data.
Ensure data integrity and compliance with relevant standards (GMP, FDA, ISO, etc.).
Document remediation plans, procedures, and outcomes, providing clear evidence of compliance for audits and inspections.
Analyze manufacturing data to identify areas for improvement and standardization.
Support root cause investigations for data-related deviations and implement corrective actions (CAPA).
Train staff in best practices for manufacturing data management, remediation, and documentation.
Participate in system upgrades, migrations, or new technology implementations, ensuring legacy data is appropriately remediated and transferred.
Assist with audit and inspection readiness by providing accurate and compliant data records.
Requirements:
Bachelor’s or Master’s degree in Engineering, Data Science, Information Technology, or related field.
[Insert Years] experience in manufacturing data management, remediation, or related roles within regulated environments (pharma, biotech, medical device, industrial, etc.).
Strong understanding of data integrity principles and regulatory requirements (GMP, FDA, ISO).
Experience with data cleansing, validation, and quality assurance methodologies.
Proficiency in using manufacturing databases, MES, ERP, and digital documentation tools.
Excellent analytical, documentation, and communication skills.
Ability to manage multiple remediation projects in cross-functional teams.