Manager, Data and AI Engineering
Core
Drive the build-out of a next-generation autonomous data intelligence platform for Supply Chain Operations, architecting and productionizing solutions that deliver measurable business value.
Role type
Manager, Data and AI Engineering
Builds
Scalable data and AI platforms, ETL/ELT/streaming pipelines, AI-powered use cases (RAG, AI agents, tool-calling workflows), and data foundations for GenAI.
Domain
Supply Chain Operations, Cloud Data Engineering, Generative AI
Deliverable
production ML models
Required skills
Architecture and engineering leadership, Hands-on coding and prototyping, AWS ecosystem mastery, Agentic AI & LLM operationalization, Databricks & Spark expertise, Data modeling (Star, Snowflake, Data Vault), Data quality frameworks, Resource planning and project execution, Team mentorship.
Preferred skills
Databricks certifications, AWS certifications, Managing multi-functional teams, Supply chain business process knowledge.
Technologies
Databricks, AWS, Spark, Kafka, Delta Lake, Unity Catalog, RAG, Vector search, Knowledge graphs.
Responsibilities
Design and build scalable data/AI platforms; Deliver robust ETL/ELT and streaming pipelines; Enable delivery of AI-powered use cases; Design data models; Implement data quality and observability; Partner with business collaborators to translate requirements; Oversee resource planning and project execution; Provide hands-on technical leadership and mentor engineers.
Seniority
Manager, 10+ years total experience with 3+ years in leadership
