(sr)manager, Data & Ai Engineer

Pfizer Venezuela S.A

Venezuela
**
Senior manager data & ai engineer role
Python programming with fastapi and flask
Llm orchestration frameworks like langchain
** Pfizer Venezuela S.A is seeking a Senior Manager, Data & AI Engineer to lead the development of data and AI engineering capabilities, focusing on AI Transformation programs. The role involves hands-on engineering work, cross-functional collaboration, and oversight of data governance to ensure compliant data consumption and AI adoption. **

Job Summary

  • This hands-on leadership role is responsible for building and scaling data & AI engineering capabilities to enable AI transformation programs across international and local projects.
  • The successful candidate will act as the China coordination point for data governance forums to ensure decisions support trusted, compliant data consumption and AI adoption.
  • Key responsibilities include designing production-grade data pipelines, semantic/consumption layers, and model serving services with strong engineering discipline including testing, CI/CD, and security.

Matching Summary

Match Score: 75

** Pfizer Venezuela S.A is seeking a Senior Manager, Data & AI Engineer to lead the development of data and AI engineering capabilities, focusing on AI Transformation programs. The role involves hands-on engineering work, cross-functional collaboration, and oversight of data governance to ensure compliant data consumption and AI adoption. **

Skills & Requirements

Must-have

  • Senior Manager Data & AI Engineer role
  • Python programming with FastAPI and Flask
  • LLM orchestration frameworks like LangChain
  • RAG systems and AI Agent development
  • End-to-end ML/AI platform architecture
  • Data quality and observability implementation
  • CI/CD and production-grade engineering practices

Nice-to-have

  • Experience in regulated pharmaceutical environments
  • Strong stakeholder management across global teams
  • Knowledge of semantic layer and metadata enablement
  • Familiarity with enterprise data governance models
  • Ability to translate business needs into technical solutions

Key Requirements

  • Bachelor's, Master's, or PhD in Computer Science or related field
  • 8+ years experience in data/analytics platforms or AI enablement roles
  • Proven experience leading cross-functional delivery and platform adoption
  • Hands-on experience developing ETL pipelines using Python and SQL
  • Experience working in cloud environments (AWS/Azure/GCP)
  • Strong understanding of data lifecycle decision processes

Work Rights

Not specified

Tailored Resume

Cover Letter