CDNA_Manager – Media Data/Operations
CDNA_Manager – Media Data/Operations
India - Hyderabad Apply Now
JOB ID:
R-231983
País:
India - Hyderabad
Estado:
On Site
DATE POSTED:
Aug. 13, 2026
CATEGORÍA DE EMPLEO:
Engineering
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 12-16 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.