Director, Data Engineering & Semantics数据工程和语义总监-上海/北京/杭州/大连
Pfizer · 4 Locations · Global
Clinical Data Science
–
Not yet analysed
Demand66
Career growth70
Healthcare fit24
Remote potential20
5-year outlook
Senior data engineering leadership in large pharma typically sits at the top of the data pay band with strong long-term stability, though total compensation will hinge on scope, team size, and whether the role covers global R&D data. Expect solid but not explosive growth; data-semantics and ontology skills are increasingly valued as pharma invests in AI-ready data.
Clinical license
Not required
Applicant reach
narrow
Seniority
executive
Employment type
–
Date found
2026-10-27
Intelligence details
Why this is worth applying to
Only worth it for clinicians who already lead data engineering or informatics teams at scale — the title implies a decade-plus of technical leadership and the posting gives no evidence of a clinical-friendly entry point. Most clinicians should skip this and look at mid-level informatics or clinical data roles instead.
Who should apply
Physician or nurse informaticists who have grown into data engineering leadership, clinical data architects with ontology/terminology and platform ownership experience, and healthcare data leaders with prior pharma, CRO, or large health-system data organisation backgrounds who are open to relocation in China.
CV angle
Do not lead with clinical credentials — lead with scope: team size managed, data platforms built, pipelines owned, and measurable reliability or cost outcomes. Then position clinical terminology and semantic modelling work (ICD, SNOMED, LOINC, MedDRA, ontology design, metadata and data governance frameworks) as the differentiator that pure engineers lack, and quantify governance or standardisation wins. Frame any clinical background as domain context for data quality decisions, not as patient-care experience.
Skills to highlight
- Data engineering leadership and team building
- Semantic modelling, ontology and taxonomy design
- Clinical and regulatory terminology standards (ICD, SNOMED, LOINC, MedDRA)
- Data governance, metadata and master data management
- Cloud data platform architecture (Snowflake/Databricks/Azure/AWS)
- Stakeholder management across R&D and commercial functions
- Pharma or regulated-industry data quality and compliance
Role summary
A Director-level role at Pfizer, based in Shanghai, Beijing, Hangzhou or Dalian, heading data engineering and semantic/data-modelling work. The post gives only a title, so the exact scope — enterprise data platform, R&D data, or AI-ready semantic layer — is unconfirmed; it is a technical leadership position rather than a clinical one.
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