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Amgen
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MDM Specialist

MDM Specialist

Amgen

10 - 14 years

6 - 9 Lacs

Hyderabad

Posted:1 week ago| Platform:

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Skills Required

Unix Data analysis Data modeling Project management Pharma Eclipse Data quality Informatica SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are seeking an experienced MDM Manager with 10-14 years of experience to lead strategic development and operations of our Master Data Management (MDM) platforms, with hands-on experience in Informatica or Reltio. This role will involve managing a team of data engineers, architects, and quality experts to deliver high-performance, scalable, and governed MDM solutions that align with enterprise data strategy. To succeed in this role, the candidate must have strong MDM experience along with Data Governance, DQ, Data Cataloging implementation knowledge, hence the candidates must have minimum 6-8 years of core MDM technical experience for this role (Along with total experience in the range of 10-14 years) .

Roles & Responsibilities:

Lead the implementation and optimization of MDM solutions using Informatica or Reltio platforms.

Define and drive enterprise-wide MDM architecture, including IDQ, data stewardship, and metadata workflows.

Match/Merge and Survivorship strategy and implementation experience

D esign 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

Manage cloud-based infrastructure using AWS and Databricks to ensure scalability and performance.

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.

Provide mentorship and technical leadership to junior team members and ensure project delivery timelines.

Lead custom UI design for better user experience on data stewardship

Basic Qualifications and Experience:

Master s degree with 8 - 10 years of experience in Business, Engineering, IT or related field OR

Bachelor s degree with 10 - 14 years of experience in Business, Engineering, IT or related field OR

Diploma with 14 - 16 years of experience in Business, Engineering, IT or related field

Functional Skills:

Must-Have Skills:

Deep knowledge of MDM tools (Informatica, Reltio) 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 D&B, 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.

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

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 , Reltio etc )

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

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