Sr Associate, Master Data Management
About this opportunity
Career Category
Supply Chain
Job Description
Role Description:
The Master Data Team 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 data operations tasks, mainly maintenance, and validation, to ensure the accuracy and integrity of master data like Material, PIR, SL, ECN, BOM , Recipe, Production version and QM Inspection plans
Creation and maintenance (Extension to plant, Sales org, warehouse of Material master data).
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 4-7 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 (e.g., Informatica, Powe BI).
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:
Hands on experience of SAP MDM like Material, PIR, SL, ECN, BOM , Recipe and QM Inspection types, Inspection plans & QM Info records
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, SAP TM
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.
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Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 247 comparable Senior Data & Digital roles across 50 biopharma companies.
Salary context
71 of 247 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 247 comparable roles
+ 19 more countries
Seniority mix
247 of 247 peers have a known seniority level
Therapeutic area mix
7 of 247 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.