Sr Associate Master Data Management

Amgen; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Amgen Hyderabad is seeking a Senior Associate Master Data to ensure accuracy and consistency of master data (Material, Production, Quality) across the organization.

The role focuses on validation, cleansing, enrichment, and collaboration with teams to ensure data integrity and compliance. Experience with enterprise apps like SAP and data governance frameworks is preferred.

Qualifications

• Bachelor’s degree in a STEM discipline and 5-8 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, S/4 Microsoft Office (Excel, PowerPoint), and other data management tools.
• Analytical skills with ability to analyze large datasets and deliver actionable insights.
• Strong problem solving and attention to detail with emphasis on data quality.
• Excellent written and verbal communication skills for technical and non-technical stakeholders.

Responsibilities

• Perform data operations tasks, mainly maintenance, and validation, to ensure the accuracy and integrity of master data.
• Create and maintain ECN, BOM, master recipe, production version, PIR & Source list.
• Create and maintain material masters (FG, semi-finished, raw materials) for Pharma.
• Support process optimization to improve data management workflows.
• Conduct data analysis to identify trends, discrepancies, and improvement opportunities.
• Provide training and support to partners, customers, and end-users on master data processes and tools.
• Maintain data quality reports to monitor performance metrics and ensure data compliance.
• Collaborate cross-functionally with business, IT, and operations teams to resolve data issues.

Skills

SAP

MDG & S/4

Excel & MS Office

Data governance

Data analysis

Communication

Education

Bachelor’s degree in STEM

Tools

SAP MDG

SAP S/4

MS Office

Job description

Role Description:

The

• Perform data operations tasks, mainly maintenance, and validation, to ensure the accuracy and integrity of master data


• Creation and maintenance of ECN, Bill of materials, master recipe, production version, PIR & Source list.


• Creation and maintenance of material master like FG, Semi finished, raw materials (specifically for Pharma).


• Support process optimization initiatives 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.

The Senior Associate Master Data at Amgen will support the accuracy and consistency of master data (Material, Production, Quality, 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, 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


• Creation and maintenance of ECN, Bill of materials, master recipe, production version, PIR & Source list.


• Creation and maintenance of material master like FG, Semi finished, raw materials (specifically for Pharma).


• Support process optimization initiatives 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 5-8 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, S/4 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


• Understanding 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,

Professional Certifications (please mention if the certification is preferred or mandatory for the role):

Soft 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.