# Director, Data Engineering & Semantics数据工程和语义总监-上海/北京/杭州/大连 at Pfizer

Pfizer is hiring a Director, Data Engineering & Semantics数据工程和语义总监-上海/北京/杭州/大连 in Shanghai, China. Level rates it Little AI ●○○○; you can [apply on Pfizer](https://jobsbylevel.com/go/cc15f103-e95a-430e-af29-b14068c21f43?utm_medium=ai-agent).

AI Level 1, AI centrality 24 out of 100. China - Shanghai - Shanghai.

## Details

- Company: [Pfizer](https://jobsbylevel.com/companies/pfizer)
- AI level: AI Level 1 (score 24 out of 100)
- Location: China - Shanghai - Shanghai
- Posted: October 27, 2026
- Apply: https://jobsbylevel.com/go/cc15f103-e95a-430e-af29-b14068c21f43?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=director-data-engineering-semantics-at-pfizer-72a847

## Description

Director, Data Engineering & Semantics — China Role Snapshot Function / Team: Commercial Excellence & Innovation (CEI) - Digital & Technology (Data Engineering & Semantics) Location: China Grade / Level: Director Reports to: Digital & Technology Head (D&T Head) 1. Role Summary The Director leads the Data Engineering & Semantics capability that provides trusted, governed and AI-ready data for analytics, digital products and AI solutions across Pfizer China commercial operations. The role owns data engineering, reporting and business intelligence foundations, knowledge and unstructured data engineering, technical semantic models, technical data quality and observability, technical data governance controls, reusable data agents, and AI Consumption Layer (AICL) delivery. It translates business definitions, harmonized KPIs, master data business rules and business data governance requirements into scalable technical solutions. This leader ensures CEI PODs work from one consistent and compliant data foundation, aligned with enterprise data standards and China data and privacy requirements. 2. Key Accountabilities Define and execute the China technical roadmap for data engineering and semantic implementation, aligned with DSM-led business requirements, CEI priorities, enterprise data strategy and global Digital & Technology standards. Lead standardized data engineering across ingestion, integration, transformation, storage and serving for structured, unstructured and knowledge data. Translate business definitions, harmonized KPIs and taxonomies into reusable semantic models, metadata and technical mappings across reporting, analytics and AI. Build reusable data products, reporting and business intelligence foundations and data agents that improve discoverability, interoperability and reuse. Own AICL technical delivery against business requirements and priorities, connecting governed data, semantic models and knowledge assets with the China LLM foundation for consistent, secure and scalable consumption by business teams and PODs. Implement technical data governance controls, lineage, observability and data quality checks based on business governance requirements; resolve technical issues and support DSM-led business stewardship. Ensure data handling meets China data, privacy and cross-border requirements, partnering with privacy, legal and compliance stakeholders. Enable AITO and CEI PODs with trusted data, technical implementation of semantic standards and data engineering specialists from MVP scoping through scale. Lead and develop data engineering, technical semantics and technical data governance talent, balancing foundation build with priority business demand. 3. Required Capabilities & Competencies (a) Critical Capabilities & Qualifications Enterprise data strategy, modern data engineering, data architecture, data products and reporting and business intelligence foundations. Semantic modeling, metadata, taxonomy and ontology; technical integration of master and reference data in line with DSM-defined business rules; and knowledge and unstructured data engineering. Technical implementation of business data governance requirements, support for business stewardship, data quality controls, lineage, observability and China data privacy and cross-border controls. Data enablement for AI, including retrieval, knowledge grounding, data access for agents, reusable data agents and AI consumption layer delivery. Bachelor’s degree in Computer Science, Data Engineering, Data Science, Information Systems or a closely related discipline; an advanced technical or business degree is preferred. Typically 15+ years of progressive relevant experience, including several years leading teams and delivery at scope and complexity appropriate to similar level. Demonstrated ability to work across business, product, technology, data and governance stakeholders in a matrixed environment. Experience in a highly regulated industry and the China technology,

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/director-data-engineering-semantics-at-pfizer-72a847

Source: https://jobsbylevel.com/jobs/director-data-engineering-semantics-at-pfizer-72a847

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