Data Quality Manager
Hybrid
Core
Design and operate Data Quality for AI Use Cases, identifying improvement potentials and driving data value creation.
Role type
Data Quality Manager (AI)
Builds
Data quality frameworks and processes for AI applications
Domain
Artificial Intelligence / Data Engineering
Deliverable
production ML models
Required skills
Data Quality Management, AI Engineering, Business Analysis, SQL, Data Warehousing, Data Modeling, Database Architecture, Cloud Platforms, Project Management
Preferred skills
Databricks, On-prem & Cloud Architecture, Data Privacy/Compliance
Responsibilities
Analyze Data Quality Issues and identify cleaning variants, Translate business requirements into SQL code, Lead Data Quality projects for AI Use Cases, Measure and monitor data quality in applications, knowledge base, and Datalake