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Pfizer

Manager, Data Engineering – Semantics

Pfizer

. Manage day-to-day delivery for assigned data engineering, data product, semantic, or data-quality outcomes .

Posted 11/11/2026full-timeShanghai • ChinaSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data engineering, data governance, and semantic modeling, with a strong focus on delivering governed data products and ensuring compliance with China data privacy regulations. Proven ability to lead cross-functional collaboration and manage complex data projects in a matrixed environment.

Highest-signal resume keywords
Data EngineeringData GovernanceSemantic ModelingMicrosoft Power BIAgile Delivery

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data ArchitectureData ProductsReportingBusiness IntelligenceData QualityLineageObservabilityTechnical SemanticsData ConnectivityIntegration
Soft Skills
Cross-Functional CollaborationCoachingOutcome Ownership
Tools & Technologies
Microsoft Power BITableauQlik SenseSAP Analytics Cloud
Certifications & Qualifications
CSPOPSPOCSMPSMSAFe POPMSAFe Agilist
Industry Keywords
Pharmaceutical IndustryChina Data PrivacyCross-Border ControlsData Enablement for AIRegulated Industry

Tech Stack

Tools & technologies
CloudTableau

About the role

Key responsibilities & impact
  • Manage day-to-day delivery for assigned data engineering, data product, semantic, or data-quality outcomes
  • Own delivery across L1–L4 data engineering, including ingestion, integration, transformation, storage, serving, reporting, and business intelligence foundations
  • Deliver reusable, governed data products and data agents, including the AICL CL layer and agent-facing data contracts
  • Deliver technical semantics, including semantic models, metadata, taxonomies, and technical mappings implementing approved business definitions and harmonized KPIs
  • Deliver Data Trust & Reliability Engineering, including governance controls, shift-left data quality checks, lineage, observability, and China data, privacy, and cross-border controls
  • Maintain backlogs, dependencies, risks, acceptance criteria, test evidence, documentation, and transition plans
  • Coordinate with GCA DSM on definitions and issue resolution
  • Partner with Enterprise Engineering, PIC, and other partners on productionization
  • Coach Senior Associates
  • Collaborate with AITO AI engineering, AITO AI Platform & Foundation, Enterprise Engineering, Deployment & Operations, global data teams, and privacy, legal, and compliance stakeholders
  • Deliver governed, reusable data products, semantic models, and the AICL CL layer
  • Improve data quality, lineage, observability, and adherence to China data and privacy requirements

Requirements

What you’ll need
  • Modern data engineering, data architecture, data products, and reporting and business intelligence foundations
  • Hands-on proficiency in Microsoft Power BI, Tableau, Qlik Sense, or SAP Analytics Cloud, including data connectivity and integration, semantic modeling, dashboard and report development, access controls, refresh management, and performance optimization
  • Semantic modeling, metadata, taxonomy, and ontology
  • Knowledge and unstructured data engineering
  • Data enablement for AI retrieval and agents
  • Technical data governance, data quality, lineage, and observability
  • China data privacy and cross-border controls
  • Outcome ownership connecting decisions to measurable business, user, service, and transformation outcomes
  • Responsible AI, reuse, architecture, security, privacy, and scale principles
  • Cross-functional collaboration across business, product, technology, data, and governance stakeholders in a matrixed environment
  • Bachelor’s degree or above in Computer Science, Data Engineering, Data Science, Information Systems, or a related computing discipline
  • 8+ years of progressive relevant experience based on a bachelor’s degree; a master’s or doctoral degree may reduce the years required
  • Agile delivery, product metrics, adoption measurement, and evidence-based iteration
  • Agile and product certifications are preferred, including CSPO/PSPO, CSM/PSM, and SAFe POPM or SAFe Agilist
  • Experience in the pharmaceutical or another highly regulated industry, and the China technology, data, privacy, or vendor environment, is preferred