PPI Business Systems Specialist III – Digital Transformation & Continuous Improvement

Work Schedule

Standard (Mon-Fri)

Office

The Business Systems Specialist III drives digital transformation, process automation, and continuous improvement initiatives across the North America Distribution and Logistics Network. This role supports the design, implementation, and maintenance of digital tools, automation solutions, analytics, and process improvements that enhance operational efficiency, accuracy, productivity, and scalability.

By combining technical expertise with a continuous improvement mindset, the Business Systems Specialist III contributes to modernizing logistics operations and supporting Thermo Fisher Scientific’s mission: to enable our customers to make the world healthier, cleaner, and safer.

Thermo Fisher Scientific operates highly complex distribution and logistics networks supporting customers globally. Distribution centers manage high-volume inbound and outbound operations involving regulated products, temperature‑controlled inventory environments, and multiple enterprise systems.

Inventory management and order processing are supported through multiple systems including SAP, Oracle Database (E1), and Warehouse Management Systems (WMS). The complexity of these interconnected systems requires strong analytical capabilities, digital automation expertise, and disciplined continuous improvement practices to maintain operational excellence.

• Support digital transformation and continuous improvement initiatives across the North America Logistics Network.
• Develop and implement automation tools and digital solutions that improve operational efficiency and accuracy.
• Assist in building and maintaining a digital roadmap aligned with operational goals.
• Analyze distribution and warehouse processes to identify automation and process improvement opportunities.
• Partner with Operations, IT, Engineering, Finance, Quality, and Supply Chain teams to integrate automation solutions into existing workflows.
• Support business system integrations, automation deployments, and operational improvement projects.
• Maintain, troubleshoot, and optimize implemented automation and reporting systems.
• Support continuous improvement activities including Kaizen events, Lean initiatives, and process audits.
• Develop and maintain Power BI dashboards, operational scorecards, and reporting tools.
• Generate analytics and reports related to productivity, operational performance, safety, and quality metrics.
• Monitor operational performance indicators to identify trends and areas for improvement.
• Participate in regional and site‑level projects supporting logistics operations.
• Provide training and support to colleagues on automation tools, reporting systems, and process improvements.
• Ensure confidentiality and integrity of operational and business data.
• Perform all responsibilities in compliance with EH&S policies, ISO requirements, Code of Ethics, and Thermo Fisher’s 4‑I Values.

• Collaborate directly with cross‑functional departments including Planning, Customer Care, Operations, Service, IT, Finance, QA, Engineering, and Supply Chain teams.
• Provide recommendations based on operational data, analytics, and process improvement findings.
• Support implementation of continuous improvement and automation initiatives across distribution sites.

This role operates within a complex logistics and systems environment involving multiple enterprise platforms, automation technologies, and operational workflows.

• Managing multiple priorities and deadlines.
• Working across multiple systems and departments.
• Investigating operational issues and identifying root causes.
• Analyzing operational data and performance trends.
• Supporting improvement initiatives in fast‑paced operational environments.

The role requires balancing analytical problem‑solving with operational execution while maintaining a strong focus on customer impact, productivity, quality, and compliance.

• Bachelor’s degree in Business Management, Supply Chain Management, Engineering, Information…