Commercial Customer Master Data and Segmentation - US

Lonza•Morristown, NJ

16d•Remote

About The Position

Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there’s no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that’s the kind of work we want to be part of. In this Commercial Customer Master Data and Segmentation position within our Capsule & Health Ingredients (CHI) business unit you will be responsible for owning the accuracy, integrity, and execution of customer master data and segmentation across systems, ensuring a reliable, up-to-date, and business-ready data foundation that enables effective commercial operations The position is available remotely from the US, France, Germany, Belgium, India. What you will get: A remote opportunity An agile career and dynamic working culture An inclusive and ethical workplace Compensation programs that recognize high performance A variety of benefits dependent on role and location

Requirements

Bachelor’s or Master’s degree or equivalent experience in data science, analytics or IT
Proven track record in Commercial Data Management, Customer Segmentation, and Analytics
Familiarity with CRM and Master Data Systems, particularly Salesforce and SAP
Business proficient English is essential for the position, additional languages are a plus, but not required

Responsibilities

Own and manage commercial customer master data across core systems (e.g., Salesforce, SAP), ensuring accuracy, consistency, and clear hierarchy structures.
Maintain high data quality standards through governance, audits, and issue resolution, acting as the main escalation point for data-related problems.
Lead the application and ongoing refresh of customer segmentation models, ensuring all accounts are correctly classified and consistently tagged.
Source, validate, and manage internal and external data inputs to support segmentation accuracy and business insights.
Ensure segmentation is reliably implemented across systems, resolving exceptions and preventing inconsistencies or unauthorized changes.
Partner with cross-functional teams (e.g., Analytics, Sales Ops, IT) to enforce data governance standards and enable effective commercial execution.
Drive continuous improvement by optimizing data processes, reducing manual effort, and enhancing documentation, scalability, and downstream usability