Remote Data Manager: Lead Patient Data & Analytics

Amgen SA; Deerfield (IL); On-site; USD 128,000 - 156,000; Full time

Benefits offered by this job

Stock options

Retirement plan

Medical insurance

Disability insurance

Life insurance

Job summary

Amgen seeks a Data Management Manager to architect and manage end-to-end data curation for patient support programs and specialty data sources. You will oversee data aggregation, quality checks, and governance across multiple brands, ensuring compliant handling of patient data.

The role requires a Master’s degree and 3 years of related experience, with hands-on skills in SQL/Python, data modeling, and modern cloud data platforms.

Qualifications

• Master’s degree (or foreign equivalent) in Computer Science, Information Technology, MIS, or related field with 3 years of experience.
• Experience with data modeling and ETL for data warehouses and columnar databases.
• Experience building scalable data pipelines using SQL or Python.

Responsibilities

• Gather data requirements for onboarding of new patient data sources and programs.
• Implement end-to-end data curation processes for PSP and SP data sources.
• Lead day-to-day patient data operations across multiple brands and data sources.
• Ensure data quality, data governance, and compliance with privacy SOPs.
• Collaborate with cross-functional teams to standardize data and automate processes.

Skills

Data Modeling

ETL

SQL

Python

Cloud Platforms

Databricks

Snowflake

Dataiku

Azure Data Factory

TIBCO

Education

Master’s degree in Computer Science / Information Technology / MIS

Tools

Databricks

Snowflake

Dataiku

Azure Data Factory

TIBCO

MuleSoft

Azure / AWS / GCP

Job description

Amgen seeks a Data Management Manager to architect and manage end-to-end data curation for patient support programs and specialty data sources. You will oversee data aggregation, quality checks, and governance across multiple brands, ensuring compliant handling of patient data.

The role requires a Master’s degree and 3 years of related experience, with hands-on skills in SQL/Python, data modeling, and modern cloud data platforms.