16 days ago
Shanghai, China +2 moreStaff+
Responsibilities
- Define and execute the China technical roadmap for data engineering and semantic implementation.
- Lead standardized ingestion, integration, transformation, storage and serving for structured, unstructured and knowledge data.
- Translate business definitions, KPIs and taxonomies into reusable semantic models, metadata and technical mappings.
- Build reusable data products, reporting and business intelligence foundations, data agents and AI-ready data capabilities.
- Own technical delivery of the AI Consumption Layer, connecting governed data and semantic models with the China LLM foundation.
- Implement technical data governance controls, lineage, observability and data quality checks.
- Ensure data handling complies with China data, privacy and cross-border requirements.
- Partner with business, product, technology, governance, privacy, legal and compliance stakeholders.
- Lead and develop data engineering, technical semantics and technical data governance teams.
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, Data Science, Information Systems or a closely related discipline.
- 15+ years of progressive relevant experience, including several years leading teams and delivery at comparable scope and complexity.
- Experience with enterprise data strategy, modern data engineering, data architecture, data products, reporting and business intelligence foundations.
- Experience with semantic modeling, metadata, taxonomy, ontology, master and reference data integration, and knowledge or unstructured data engineering.
- Experience implementing data governance requirements, data quality controls, lineage, observability and China data privacy or cross-border controls.
- Experience enabling AI through retrieval, knowledge grounding, agent data access, reusable data agents and AI Consumption Layer delivery.
- 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, data, privacy or vendor environment is preferred.
- An advanced technical or business degree is preferred.
Categories
Data Engineering
About Pfizer
Pfizer is a publicly traded biopharmaceutical company that discovers, develops, manufactures, and markets prescription medicines and vaccines for patients, healthcare systems, and governments worldwide. Its portfolio spans oncology, vaccines, immunology, and rare disease, with products such as the COVID-19 vaccine (with BioNTech) and the antiviral Paxlovid. Founded in 1849 and headquartered in New York City, Pfizer operates globally under the ticker PFE on the NYSE.