CDNA_Manager – Digital Analytics

Career Category

Engineering

Job Description

• HOW MIGHT YOU DEFY IMAGINATION?
• If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do.
• Live | What you will do

• Lead campaign data delivery for assigned brands or channels, ensuring timely ingestion, validation, and handoff to reporting/analytics teams.
• Own daily ops and work directly with US-based stakeholders and senior managers (SMs) to align on priorities and timelines.
• Coordinate L4 analyst execution, oversee data hygiene and process stability, and identify automation opportunities.
• Ensure taxonomy compliance, vendor data QC, and reporting data readiness.
• Serve as SME for media data architecture, pipeline design, and ingestion logic.
• Collaborate with technology and engineering teams to enhance cloud workflows (AWS, Databricks) and SFDC-based integrations.

• Thrive | What you can expect
• As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being.

Basic Qualifications

• Master’s degree (or Bachelor’s with 5–7 years) in Computer Science, Information Systems, Data Engineering, or related field.
• Proven experience managing data pipelines, reporting workflows, and media data quality for enterprise marketing programs.
• Strong SQL and Python skills, with working knowledge of Tableau and cloud data services (AWS, Databricks).
• Experience handling multi-source vendor data, campaign performance data, and large datasets tied to paid media execution.
• Demonstrated ownership of operational delivery across cross-functional teams.

Preferred Qualifications

• Hands-on experience with platforms like DV360, Meta Ads, SFMC, and Salesforce plugins for campaign orchestration.
• Familiarity with HCP and consumer media data workflows in the pharma or healthcare context.
• Ability to translate data architecture needs into long-term, scalable designs in collaboration with engineering.
• Strong interpersonal and planning skills; comfort leading operational discussions with global stakeholders.
• Background in developing or enforcing taxonomy, tagging, and governance standards for campaign metadata.

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