Associate Director, Data Engineering Lead
Novartis · 2 Locations · Global
Clinical Data Science
–
Not yet analysed
Demand72
Career growth70
Healthcare fit38
Remote potential45
5-year outlook
Senior data engineering leadership in large pharma is typically compensated well above most clinical roles and should remain competitive as life-science companies keep investing in data and AI infrastructure. Exact figures are not stated in the posting and should be verified against local market benchmarks.
Clinical license
Not required
Applicant reach
narrow
Seniority
lead
Employment type
–
Date found
2026-10-23
Intelligence details
Why this is worth applying to
Worth considering only if you already have hands-on data engineering plus team-leadership experience, ideally in a regulated or life-sciences setting. Clinicians without a genuine engineering track record should treat this as a stretch application rather than a realistic transition role.
Who should apply
Clinician-engineers (physicians, pharmacists, or allied health professionals) who have moved into data engineering, analytics engineering, or clinical informatics leadership; informatics professionals with cloud pipeline and data governance ownership in pharma, CRO, or health-tech environments.
CV angle
Lead with real data engineering delivery — pipeline architecture, cloud platforms, data quality/governance, and team leadership — and quantify scale and business impact. Then position clinical or healthcare domain knowledge as the differentiator: familiarity with clinical trial data flows, EHR/registry datasets, and regulated data environments, framed as domain context rather than clinical practice.
Skills to highlight
- Data pipeline and ETL/ELT architecture
- SQL and Python for data processing
- Cloud data platforms (e.g., AWS/Azure/GCP)
- Data governance, quality, and lineage
- Engineering team leadership and mentoring
- Stakeholder management with scientific and business partners
- Familiarity with clinical or healthcare data standards
Role summary
A senior individual-contributor-plus leadership role owning data engineering for Novartis — designing and running data pipelines, platform architecture, and data governance while leading a team of engineers supporting pharmaceutical data and analytics use cases.
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