MDM Engineering Manager

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 Engineering 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 and data engineering experience. 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. This is a technical role that will requirehands-on work.To succeed in this role, the candidate must have strong Data Engineering experience along with MDM knowledge, hence the candidates having only MDM experience are not eligible for this role. Candidate must have data engineering experience on technologies like (SQL, Python, PySpark, Databricks, AWS, API Integrations etc), along with knowledge of MDM (Master Data Management)

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.

• Design the solution and deliver enhanced MDM processes and data integrations using Unix, Python, and SQL.

• 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:

• Strong understanding and hands on experience of Databricks and AWS cloud services.

• Proficiency in Python, PySpark, SQL, and Unix for data processing and orchestration.

• Deep knowledge of MDM tools (Informatica, Reltio) and data quality frameworks (IDQ).

• Strong 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

• Strong experience with external data enrichments like D&B

• Strong experience on match/merge and survivorship rules implementations

• Must have worked on atleast 3 end to end implementations of MDM

• Very good understanding on reference data and its integration with MDM

• Hands on experience with custom workflows

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, Python, PySpark, Databricks)

• 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