Sr Associate Master Data Management

Career Category

Information Systems

Job Description

The Sr Associate Master Data Management at Amgen will support the accuracy and consistency of master data (Material, Production, Quality, Customer, Transportation and/or Plant) across the organization. This role will manage data validation, cleansing, and enrichment while collaborating with teams to resolve issues and ensure data integrity. The analyst will support key performance monitoring, data governance, and compliance efforts, as well as assist in data migration and integration projects. Candidates should have experience in enterprise applications like SAP or Oracle, familiarity with data governance frameworks and compliance standards, and strong analytical skills.

Roles & Responsibilities:

- Perform Customer Master Data operations tasks, Creating Sold to, ship to account & maintenance, and validation, to ensure the accuracy and integrity of master data

- Support process optimization initiatives in S4 HANA to improve data management workflows and enhance efficiency

- Conduct data analysis to identify trends, discrepancies, and opportunities for improvement

- Provide training and support to partners, customers, and end-users on master data processes, tools, and best practices.

- Maintain data quality reports to monitor performance metrics and ensure data compliance.

- Collaborate cross-functionally with business, IT, and operations teams to resolve data-related issues and ensure alignment with organizational goals.

Basic Qualifications and Experience:

- Bachelor’s degree in a STEM discipline and 5-9 years of experience in SAP ECC, master data management, data governance, or data operations, preferably in the healthcare or biotech supply chains

- Technical Proficiency: Experience in SAP, Microsoft Office (Excel, PowerPoint), and other data management tools.

- Analytical Skills: Strong ability to analyze large datasets and deliver actionable insights.

- Problem Solving: Skilled at identifying root causes of data issues and implementing effective solutions.