Data Management, Manager

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission to serve patients living with serious illnesses drives all that we do.

Since 1980 we’ve helped pioneer the world of biotechnology in our fight against the world’s toughest diseases. With a focus on oncology, inflammation, general medicine, and rare disease, we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity‑related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller, happier lives.

Our award‑winning culture is collaborative, innovative, and science‑based. If you have a passion for challenges and the opportunities that lie within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

As a member of the Global Data Strategy team, the Manager, Data Management, Commercial Patient Data reports to the Director, Patient Data Management. This position manages Amgen’s marketing data clean‑room patient data assets (e.g., data generated from marketing/media data, third‑party data sets, etc.). Responsibilities include executing solutions to compliantly connect patient data assets that serve as the foundation for driving consumer‑journey analytics that inform enhanced patient and HCP experiences.

The role executes cross‑functional processes, SOPs, and governance to ensure secure and appropriate access to these sensitive data sets. The Manager partners with marketing, decision sciences, DTI, and other commercial teams and multiple external vendors to support patient data aggregation, marketing/media/third‑party data integration, and ongoing operations.

• Oversee data governance by collaborating with cross‑functional teams, conducting data exploration and analysis, and leading the implementation, management, and operation of technology and infrastructure; perform data validation.
• Work closely with business partners and stakeholders to facilitate use‑case submissions and coordinate the review and approval process.
• Collaborate with cross‑functional teams to enforce data governance for connected data assets through effective data access management, business approval processes, and routine reviews.
• Assess data needs with vendors to support onboarding of connected data sets for new or approved use cases.
• Collaborate with martech vendors to implement and maintain end‑to‑end data curation processes for new and existing data sources.
• Coordinate with vendors for tokenization and bridging, linking first‑ and third‑party patient data assets to enable comprehensive longitudinal analytics across patient‑marketing journeys, including digital and syndicated datasets.
• Manage data operations and SOPs overseeing daily and weekly data refresh and aggregation activities supported by this role.
• Address and resolve data‑related inquiries from cross‑functional stakeholders.
• Detect data issues across various sources, implement quality checks, and monitor data integrity.
• Ensure patient‑level data assets are processed and managed in compliance with privacy and regulatory requirements.

• Doctorate degree OR
• Master’s degree and 2 years of data management, patient or media marketing data experience OR
• Bachelor’s degree and 4 years of data management, patient or media marketing data experience OR
• Associate’s degree and 8 years of data management, patient or media marketing data experience OR
• High school diploma / GED and 10 years of data management, patient or media marketing data experience

• Experience working with patient‑level datasets including digital/media data sources, patient support programs, syndicated sales & claims data sources, etc.
• Experience with data, analytics, and technology solutions (GCM, cloud platforms, SQL, Databricks, Tableau, SAS, Python, R, etc.)
• Ability to translate…