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Sr Associate Master Data Management

Amgen

Sr Associate Master Data Management

full-timePosted: Aug 26, 2026Updated: Aug 28, 2026India - Hyderabad

Job Description

Career CategoryInformation SystemsJob DescriptionABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases and make people’s lives easier, fuller, and longer. We discover, develop, manufacture, and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description: The Master Data Analyst at Amgen will support the accuracy and consistency of master data (Material and Production) 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 data operations tasks, mainly maintenance, and validation, to ensure the accuracy and integrity of master data for Material, BOM, Recipe and Production versionsSupport process optimization initiatives like Sharepoint and 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/MDG, S4 HANA, 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. Attention to Detail: High accuracy and attention to detail, with a strong focus on data quality. Communication: Excellent written and verbal communication skills, with the ability to present findings to both technical and non-technical stakeholders. Functional Skills: Must-Have Skills: Working knowledge of SAP/S4 HANA , MDGUnderstanding of master data management processes, frameworks, and governance. Proficiency in Excel and MS Office Suite, with experience in data analysis Basic understanding of data governance frameworks and ensuring data accuracy and quality. Strong communication skills for presenting data insights to both technical and non-technical audiences. Good-to-Have Skills: SAP S/4, SAP MDG, S4 HANASoft Skills: Good analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, virtual teams. High degree of initiative and self-motivation, centered around data perfection Team-oriented, with a focus on achieving team goals. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. .

Locations

  • India - Hyderabad

Skills Required

  • SAP ECCintermediate
  • SAP/MDGintermediate

Required Qualifications

  • 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 (experience, 9 years)
  • 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 (experience, 9 years)
  • Technical Proficiency: Experience in SAP/MDG, S4 HANA, Microsoft Office (Excel, PowerPoint), and other data management tools (experience)
  • Technical Proficiency: Experience in SAP/MDG, S4 HANA, Microsoft Office (Excel, PowerPoint), and other data management tools (experience)
  • Analytical Skills: Strong ability to analyze large datasets and deliver actionable insights. (experience)
  • Analytical Skills: Strong ability to analyze large datasets and deliver actionable insights. (experience)
  • Problem Solving: Skilled at identifying root causes of data issues and implementing effective solutions. (experience)
  • Problem Solving: Skilled at identifying root causes of data issues and implementing effective solutions. (experience)
  • Attention to Detail: High accuracy and attention to detail, with a strong focus on data quality. (experience)
  • Attention to Detail: High accuracy and attention to detail, with a strong focus on data quality. (experience)
  • Communication: Excellent written and verbal communication skills, with the ability to present findings to both technical and non-technical stakeholders. (experience)
  • Communication: Excellent written and verbal communication skills, with the ability to present findings to both technical and non-technical stakeholders. (experience)
  • Functional Skills: (experience)

Preferred Qualifications

  • SAP S/4, SAP MDG, S4 HANA (experience)
  • SAP S/4, SAP MDG, S4 HANA (experience)
  • Good analytical and troubleshooting skills. (experience)
  • Good analytical and troubleshooting skills. (experience)
  • Strong verbal and written communication skills. (experience)
  • Strong verbal and written communication skills. (experience)
  • Ability to work effectively with global, virtual teams. (experience)
  • Ability to work effectively with global, virtual teams. (experience)
  • High degree of initiative and self-motivation, centered around data perfection (degree)
  • High degree of initiative and self-motivation, centered around data perfection (degree)
  • Team-oriented, with a focus on achieving team goals. (experience)
  • Team-oriented, with a focus on achieving team goals. (experience)

Responsibilities

  • Perform data operations tasks, mainly maintenance, and validation, to ensure the accuracy and integrity of master data for Material, BOM, Recipe and Production versions
  • Perform data operations tasks, mainly maintenance, and validation, to ensure the accuracy and integrity of master data for Material, BOM, Recipe and Production versions
  • Support process optimization initiatives like Sharepoint and S4 HANA to improve data management workflows and enhance efficiency
  • Support process optimization initiatives like Sharepoint and S4 HANA to improve data management workflows and enhance efficiency
  • Conduct data analysis to identify trends, discrepancies, and opportunities for improvement
  • 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.
  • 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.
  • 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.
  • Collaborate cross-functionally with business, IT, and operations teams to resolve data-related issues and ensure alignment with organizational goals.

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