MRP Systems Configuration & Data Engineer
Role summary
Micro Mode is seeking an experienced MRP Systems Configuration & Data Engineer to lead a critical initiative for migrating to a next-generation MRP system. This role requires a hands-on analytical leader to assess the current MRP system, identify gaps, design future-state structures, and develop automated reporting tools. Responsibilities include analyzing and redesigning MRP elements like work centers, routings, and inventory parameters, while also building data-driven dashboards for planning, forecasting, and KPI tracking. The ideal candidate will have 5+ years of experience in MRP configuration, data engineering (SQL, Python), manufacturing workflows, and system migrations, with a strong understanding of lean manufacturing and data governance.
Micro Mode is seeking an experienced MRP Systems Configuration & Data Engineer to lead a critical initiative focused on preparing the organization for a smooth migration to a next-generation MRP system. This role combines deep manufacturing systems expertise with strong data engineering and process optimization skills.
The ideal candidate will be a hands-on analytical leader who can evaluate our current MRP system configuration, identify gaps, design future-state structures, and simultaneously develop automated, accurate reporting tools that elevate planning, forecasting, and operational decision making.
Primary Responsibilities — MRP System Analysis & Future-State Design
- Conduct a comprehensive assessment of the existing MRP system configuration, including all master data and transactional workflows.
- Identify shortfalls, inconsistencies, and structural weaknesses that could hinder operational efficiency or future migration.
- Develop a detailed, executable plan for restructuring the MRP environment to enable a seamless transition to a new MRP platform.
- Evaluate and redefine all MRP-related elements, including but not limited to:
- - Work center definitions and structure
- - Work center capacity rules and standards
- - Work center loading logic
- - Time standards and labor measurement methodologies
- - Detailed routing design and accuracy
- - Inventory setup, parameters, and control logic
- - Item masters, BOM accuracy, and planning parameters
- Partner with Operations, Engineering, Planning, Quality, and IT to ensure alignment between system configuration and actual operational processes.
- Document future-state MRP structures, configuration standards, and governance processes.
Secondary Responsibilities — Reporting Automation & Data Tools Development
This workstream will run in parallel with the MRP redesign.
- Analyze and eliminate manual reporting processes by designing automated, data-driven tools.
- Build accurate, timely dashboards and analytics for:
- - Production planning
- - Capacity planning and loading
- - Forecasting and demand trends
- - Inventory visibility and accuracy
- - Operational KPI tracking
- Develop databases, scripts, and reporting frameworks that ensure clean, reliable data flows across departments.
- Partner with functional managers to translate reporting needs into robust, scalable tools.
- Ensure all tools are user-friendly, well documented, and integrated with future MRP architecture.
Required Qualifications & Experience
- 5+ years of experience in MRP configuration management, including system architecture, data structuring, and manufacturing master data setup.
- Strong experience in data collection, database scripting, and coding (e.g., SQL, Python, or similar).
- Demonstrated expertise in manufacturing workflows, routing structures, work center capacity planning, and inventory management principles.
- Experience improving or migrating ERP/MRP systems (e.g., Epicor, SAP, Oracle, Infor, IFS, ABAS, Plex, etc.).
- Proven ability to design and implement automated reporting tools and dashboards.
- Strong understanding of lean manufacturing, process control, and data integrity governance.
- Excellent communication, documentation, and cross-functional collaboration skills.
Preferred Qualifications
- Experience with discrete, highprecision manufacturing environments.
- Hands-on experience with systems used in aerospace, defense, or RF component production.
- Familiarity with SQL Server, Power BI, or similar analytics platforms.