Business Systems Analyst III, Enterprise Systems & AI Workflow Implementation
Sanmina Corporation | Remote
Jan 2022 - June 2025
- Led business analysis and implementation support for enterprise 42Q MES initiatives across 6 global SMT and PCB manufacturing sites, translating production needs into structured workflows, requirements, acceptance criteria, test scenarios, SOPs, and implementation tasks.
- Created and released Oracle ERP work orders that flowed into 42Q MES for production job processing, validating the ERP-to-MES workflow from business input through downstream shop floor execution.
- Partnered with engineering, production, quality, MES, ERP, and leadership stakeholders to understand workflow pain points, business logic, file inputs, system handoffs, adoption barriers, and operational readiness needs.
- Managed a high-priority generative AI knowledge assistant initiative within the 42Q MES environment, defining practical use cases, knowledge gaps, success criteria, governance considerations, validation expectations, and user adoption needs.
- Converted recurring MES support questions, production procedures, and handoff issues into documented workflow logic, source examples, acceptance criteria, review checkpoints, and reusable guidance for future users.
- Validated AI assistant outputs with technical teams against real production workflows, source-system knowledge, expected data flow behavior, business rules, known-good examples, and practical reasonableness checks before broader use.
- Built Excel-based workflow trackers, structured review notes, and source-system comparison routines to validate business inputs, ERP/MES outputs, exceptions, and release readiness details.
- Supported stakeholder adoption through troubleshooting sessions, training materials, SOPs, reusable examples, office-hour style guidance, and clear escalation paths for workflow and system issues.
- Executed UAT, SIT support, release readiness, defect tracking, root cause analysis, and data validation by testing real-world scenarios, documenting issues, refining requirements, and coordinating resolution with technical teams.
- Improved production visibility by standardizing MES workflows, KPI reporting, metrics reporting, and operational data access, helping reduce cycle time by approximately 14% while maintaining first-pass yield above 99% in ITAR and CUI-regulated environments.