Senior Associate - MDM Data Analytics

ABOUT 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:

We are seeking an experienced MDM Data Analyst with 5-8 years of experience on MDM development and implementation and operations of our Master Data Management (MDM) platforms, with hands-on experience in Informatica IDQ and Informatica MDM. This role will involve hands-on MDM implementation of MDM solutions using IDQ and Informatica MDM. To succeed in this role, the candidate must have strong IDQ and Informatica MDM technical experience.

Roles Responsibilities:

• Develop and implement MDM solutions using Informatica IDQ and Informatica MDM platforms.
• Define enterprise-wide MDM architecture, including IDQ, data stewardship, and metadata workflows.
• Match/Merge and Survivorship strategy and implementation
• Design and delivery of MDM processes and data integrations using Unix, Python, and SQL.
• Collaborate with backend data engineering team and frontend custom UI team for strong integrations and a seamless enhanced user experience respectively
• Coordinate with business and IT stakeholders to align MDM capabilities with organizational goals.
• Establish data quality metrics and monitor compliance using automated profiling and validation tools.
• Promote data governance and contribute to enterprise data modeling and approval workflow (DCRs).
• Ensure data integrity, lineage, and traceability across MDM pipelines and solutions.

Basic Qualifications and Experience:

• masters degree with 4 - 6 years of experience in Business, Engineering, IT or related field OR
• bachelors degree with 5 - 8 years of experience in Business, Engineering, IT or related field OR
• Diploma with 10 - 12 years of experience in Business, Engineering, IT or related field

Functional Skills:

Must-Have Skills:

• Deep knowledge of MDM tools (Informatica MDM) and data quality frameworks (IDQ) from configuring data assets to building end to end data pipelines and integrations for data mastering and orchestrations of ETL pipelines
• Very good understanding on reference data, hierarchy and its integration with MDM
• Hands on experience with custom workflows AVOS, Eclipse etc
• Strong experience with external data enrichment services like Address doctor etc
• Strong experience on match/merge and survivorship rules strategy and implementations
• Strong experience with group fields, cross reference data and UUIDs
• Strong understanding of AWS cloud services and Databricks architecture.
• Proficiency in Python, SQL, and Unix for data processing and orchestration.
• Experience with data modeling, governance, and DCR lifecycle management(Avos).
• Proven leadership and project management in large-scale MDM implementations.
• Able to implement end to end integrations including API based integrations, Batch integrations and Flat file based integrations
• Must have worked on atleast 3 end to end implementations of MDM
• Hands on Unix and Advance sql

Good-to-Have Skills:

• Experience with Tableau or PowerBI for reporting MDM insights.
• Exposure to Agile practices and tools (JIRA, Confluence).
• Prior experience in Pharma/Life Sciences.
• Understanding of compliance and regulatory considerations in master data.

Professional Certifications :

• Any MDM certification (e. g. Informatica)
• Any Data Analysis certification (SQL)
• Any cloud certification (AWS or AZURE)

Soft Skills:

• Strong analytical abilities to assess and improve master data processes and solutions.
• Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders.
• Effective problem-solving skills to address data-related issues and implement scalable solutions.
• Ability to work effectively with global, virtual teams

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 accommodation.

Role GCF: 04A