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Specialist Master Data Management

United States, Los Angeles Employment contract 104196.40 - 140971.60 USD / Year · Job Posted May 29, 2026
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Job Description

Join Amgen’s Mission of Serving Patients. At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Job Responsibility

  • Execute and oversee complex master data management activities to ensure data integrity, accuracy, and compliance across Amgen's operations
  • Optimize and maintain MDM processes, handling complex data governance issues, managing stakeholders, and driving operational excellence
  • Manage large-scale data migration, integration projects, and collaborate with cross-functional teams to align data management practices with business objectives
  • Manage, maintain, and optimize master data processes, ensuring the accuracy, consistency, and governance of data across systems
  • Lead data migration and integration projects, ensuring seamless data flow between systems and platforms
  • Collaborate with IT and business teams to identify and resolve complex data governance issues and operational challenges
  • Collaborate with cross-functional stakeholders to work on business processes such as change control, deviation support, and troubleshooting process issues that are master data-related
  • Monitor and analyze data quality metrics, implementing improvements to enhance operational efficiency
  • Ensure compliance with data governance policies and industry regulations, driving continuous improvement in master data operations

Requirements

  • Doctorate degree
  • OR Master's degree and 2 years of Master Data experience
  • OR Bachelor's degree and 4 years of Master Data experience
  • OR Associate's degree and 8 years of Master Data experience
  • OR High school diploma / GED and 10 years of Master Data experience

Nice to have

  • Bachelor's degree in a STEM discipline and 5-6 years of experience in SAP ECC, master data management, data governance, or data operations in a biotech manufacturing context
  • Master data knowledge in domains such as Material and Production Master
  • Experience leading data migration, integration, and governance initiatives across large-scale operations
  • Strong analytical and problem-solving skills with a focus on data accuracy and process optimization
  • Proven experience working on enterprise applications such as SAP/Oracle ECC or S4 Hana
  • Proven experience working on data management and E2E data governance
  • Proficient in MS Office tools and visualization tools such as Tableau/Spotfire
  • Strong ability to lead data governance initiatives and ensure compliance with industry regulations

What we offer

  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
  • Stock-based long-term incentives
  • Award-winning time-off plans
  • Flexible work models where possible

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