Zoetis Campinas has expanded OpEx roles to enhance data generation and analysis, driving a step change in our ability to leverage data. We aim to integrate data and analytics across our production technologies to create additional value and improve overall manufacturing efficiency.
Role Summary
The Senior MES Analyst, in partnership with Operational Excellence (OpEx), will work with Production, Quality, and Supply teams to ensure the proper implementation and management of the Manufacturing Execution System (MES – Werum PAS‑X), as well as its ongoing optimization and data extraction for statistical process control.
Responsibilities
· Lead the PAS‑X lifecycle (analysis, design, build, testing, validation, deployment, and sustainment).
· Map processes (AS‑IS/TO‑BE) and translate requirements into MES models (eBR/eDHR, recipes, material specs, equipment, parameters).
· Build and maintain PAS‑X artifacts:
o GMBR/PMBR with version control and block reuse.
o PVL/PLL and element libraries (units, equipment, materials, IPC).
o CIX/Integration configurations (ERP/LIMS/shopfloor) and data mapping.
o Workflows, rules, checks, sampling, deviations, and electronic signatures (RbE).
o Weighing/Dispensing, Execution, Review‑by‑Exception, and Release templates.
· Integrate PAS‑X with SAP ECC and/or S/4HANA, LIMS, historians, SCADA/PLC, and shop‑floor devices.
· Define, specify, and test MES–SAP integrations (process orders, BOM/recipes, batches, status, WM/EWM, QM, PI sheets where applicable).
· Execute CSV per GAMP 5 (URS/FRS, Risk Assessment, IQ/OQ/PQ, traceability).
· Ensure compliance (21 CFR Part 11, EU Annex 11, ALCOA+).
· Monitor KPIs and incidents; drive improvements (OEE, RFT, deviation reduction).
· Train key users; develop SOPs, manuals, and training materials.
· Support audits, Change Control (ITIL), and CAPA plans.
· Ensure effective expansion, maintenance, and optimization of PAS‑X in a manufacturing environment.
· Troubleshoot and provide technical support.
· Collaborate cross‑functionally to analyze production processes, data integration, and drive MES improvements with production teams.
· Use manufacturing systems to track production performance and establish KPIs, including:
o Yield: Monitor the percentage of defect‑free products to meet quality standards.
o Cycle Time: Assess time to complete a production cycle to optimize processes.
o Resource Utilization: Evaluate machine and labor utilization to maximize efficiency.
o Inventory Turnover: Measure speed of converting raw materials into finished goods for effective inventory management.
o Scrap Rate: Track the percentage of discarded materials to minimize waste.
· Communicate risk situations to EHS per the DISK 1000 program. Prevent unsafe acts by following area procedures.
· Use and care for assigned PPE.
· Maintain equipment in your area of responsibility.
· Safeguard the confidentiality of sensitive information.
· Comply with the company’s Code of Conduct, policies, and regulations.
Experience
· Bachelor’s degree in engineering, Data Analytics, Chemistry, Biology, and/or Pharmacy.
· Solid of experience in the pharmaceutical industry.
· Solid experiencie in MES; 3+ years with Werum PAS‑X in a regulated environment.
· Demonstrated experience in:
o Building GMBR/PMBR, PVL/PLL, and libraries in PAS‑X.
o Configuring MBR/eBR (Dispensing, Execution, Review by Exception).
o MES–SAP ECC integrations (S/4HANA desirable): PP‑PI (process orders, PI sheets/similar), QM (results/postings), MM/WM/EWM (materials, batches, movements), and common interfaces (IDoc, BAPI, RFC, PI/PO or CPI).
o CSV/GAMP 5 (URS/FRS, IQ/OQ/PQ, evidence and audit trails). Differential.
o Compliance with 21 CFR Part 11, EU Annex 11, and Data Integrity. Differential.
Requirements and Technical Skills
· Proficiency with: Microsoft Office, SAP, Ariba, MODA, PAS‑X.
· Advanced English.
· Negotiation and conflict management skills.
· Ability to work under delivery schedules.
· Project management skills.
· Ability to lead projects and work both independently and in teams.
· Excellent verbal and written communication, including presenting complex topics to non‑technical audiences.
· Experience with at least one automated data transformation.
· Strong critical thinking and reasoning, especially for troubleshooting data.
· Passion for solving complex problems and making an impact.
Experience developing KPI dashboards.
Full time
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