AI Data Engineering Manager - GPSC Insights Engineering
Core
Lead a multidisciplinary team to build and operate industrialized data assets, AI data products, and data platforms supporting Business Intelligence, Advanced Analytics, machine learning, and generative AI use cases for global purchasing supply chain and Supplier Quality.
Role type
Senior IC AI Data Engineering Manager
Builds
Scalable data and AI engineering capabilities, data products, and platforms for batch, streaming, and near-real-time workloads.
Domain
Supply chain management, Data Engineering, Generative AI, MLOps/LLMOps
Deliverable
production ML models
Required skills
Team leadership, Data platform architecture, Python, SQL, Apache Spark, Kubernetes, Kafka, Cloud platforms (Azure/AWS/GCP), CI/CD, Data governance, MLOps/LLMOps patterns, RAG/vector search, Agent orchestration
Preferred skills
Managing managers, Generative AI/LLM data platforms, Feature stores, Model registries, Databricks, Snowflake, Azure Machine Learning
Technologies
LangChain, CrewAI, Vertex AI, FastAPI, React, MLflow
Responsibilities
Lead and develop a diverse team of data and AI engineers; Translate strategy into an actionable AI data engineering roadmap; Own architecture and operational health of scalable data/AI capabilities; Guide team in assembling and transforming datasets for model training and inference; Set technical direction for AI application development and orchestration; Drive adoption of repeatable MLOps/LLMOps patterns; Plan and allocate people, capacity, technology, and budget; Oversee production support and incident response; Build team capability through hiring and development.
Seniority
Senior, hands-on IC with people leadership
