Latin America (ALAC) AIML Data Quality & Governance Scientist
Core
Design enterprise knowledge graphs and data pipelines to encode business logic for AI agents and sales decision-support systems in Latin America.
Role type
Senior IC AIML Data Quality & Governance Scientist
Builds
Enterprise knowledge graphs, data quality monitoring pipelines, and ingestion architectures for unstructured/structured data
Domain
Sales operations, channel management, and enterprise knowledge engineering
Deliverable
production ML models
Required skills
Knowledge graph design, ontology modeling, data quality monitoring, unstructured data ingestion, vector search, RAG architectures, SQL, Python, graph query languages (Cypher, SPARQL, Gremlin)
Preferred skills
Federated enterprise graph ecosystem experience, sales domain background, LLM agent integration, data governance frameworks (DAMA-DMBOK), Spanish proficiency
Technologies
Neo4j, GraphDB, Amazon Neptune, RDF, OWL, SHACL, Alation, Collibra, DataHub, Snowflake, Spark, Hadoop
Responsibilities
Translate business concepts into formal ontologies and knowledge graph schemas; build and evolve enterprise knowledge graphs linked to global partner teams; design data quality monitoring pipelines with anomaly detection and drift analysis; establish data governance policies and operational standards; design ingestion pipelines for unstructured content like market reports; evaluate AI agent consumption of knowledge using retrieval architectures
Seniority
Senior, hands-on IC
