# Senior Manager, Data Engineering & Semantics

**Company**: Pfizer
**Location**: Shanghai - Shanghai
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Healthcare

**Apply**: https://pfizer.wd1.myworkdayjobs.com/en-US/PfizerCareers/job/China---Shanghai---Shanghai/Senior-Manager--Data-Engineering---Semantics_4967781-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/senior-manager-data-engineering-and-semantics-4660dede-bce/

## Description

The Senior Manager, Data Engineering & Semantics is a capability leader within Data Engineering & Semantics, owning one or more capability areas such as Data Engineering, Data Product Management or Data Trust & Reliability Engineering.

The role turns DSM-led business requirements into trusted, governed and AI-ready data, including the CL layer of the AI Empowered Consumption Layer (AICL), so that reporting, analytics and AI solutions work from one consistent data foundation.

**Key Accountabilities**

- Own one or more team capability areas end to end, defining capability roadmaps, engineering standards, reusable patterns, controls, service expectations and lifecycle outcomes across China CEI.

- Lead and govern Data Engineering across L1–L4 , ingestion, integration, transformation, storage and serving for structured, unstructured and knowledge data, and reporting and business intelligence foundations.

- Lead technical management and lifecycle governance of BI platforms, including workspace and environment administration, access controls, release management, refresh reliability, performance, capacity and license utilization.

- Lead and govern Data Product Management , reusable, governed data products and data agents, including the CL layer of the AI Empowered Consumption Layer (AICL) and agent-facing data contracts.

- Lead and govern Technical Semantics , semantic models, metadata, taxonomies and technical mappings that implement DSM-approved business definitions and harmonized KPIs.

- Lead and govern Data Trust & Reliability Engineering , technical data governance controls, shift-left data quality checks, lineage, observability and China data, privacy and cross-border controls.

- Serve as senior design authority for complex data products, semantic architectures and data-reliability solutions, and lead data contributions to complex PODs from MVP scoping through scale.

- Shape capability capacity, skills mix and partner leverage across internal, PIC and external resources.

**Required Capabilities & Competencies**

- Modern data engineering, data architecture, data products and reporting and business intelligence foundations.

- Demonstrated hands-on expertise in at least one major BI platform (e.g. Microsoft Power BI, Tableau or Qlik Sense).

- Semantic modeling, metadata, taxonomy and ontology.

- Technical data governance, data quality, lineage and observability, and China data privacy and cross-border controls.

- Bachelor’s degree or above in Computer Science, Data Engineering, Data Science, Information Systems or a related computing discipline.

- 10+ years of progressive relevant experience.

- Agile delivery, product metrics, adoption measurement and evidence-based iteration.

**Measures of Success**

- Timely, high-quality delivery of governed, reusable data products, semantic models and the AICL CL layer.

- Consistent implementation of DSM-approved business definitions and harmonized KPIs across reporting, analytics and AI.

- Improved data quality, lineage, observability and adherence to China data and privacy requirements.

- Faster POD delivery through trusted, reusable and AI-ready data.

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## Skills

### Required
- data engineering
- data architecture
- data products
- reporting and business intelligence foundations
- semantic modeling
- metadata
- taxonomy and ontology
- technical data governance
- data quality
- lineage and observability
- China data privacy and cross-border controls
- Agile delivery
- product metrics
- adoption measurement
- evidence-based iteration

### Nice to have
- experience in the pharmaceutical or another highly regulated industry
- China technology, data, privacy or vendor environment

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Source: [Apply at pfizer.wd1.myworkdayjobs.com](https://pfizer.wd1.myworkdayjobs.com/en-US/PfizerCareers/job/China---Shanghai---Shanghai/Senior-Manager--Data-Engineering---Semantics_4967781-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)