Engineering Manager – Data Quality
Core
Lead a team ensuring the accuracy, integrity, and reliability of enterprise connectivity data across platforms to support analytics, AI/ML, and business decisions.
Role type
Engineering Manager – Data Quality
Builds
Scalable data quality frameworks, automated validation pipelines, and compliance-aligned processes.
Domain
Industrial manufacturing / Enterprise data governance
Deliverable
production ML models | infrastructure
Required skills
Data quality strategy, data governance, data engineering, data pipelines, ETL/ELT, cloud platforms (Azure/AWS/GCP), data modeling, metadata management, automated testing, people leadership, CI/CD integration
Preferred skills
AI/ML-based data quality monitoring, streaming data platforms (Kafka), regulated environment experience, DevOps for data platforms
Responsibilities
Lead data quality strategy for connected asset data; Establish standard data quality frameworks, rules, and KPIs; Design scalable validation, monitoring, and anomaly detection solutions; Embed data quality controls into pipelines and architecture; Drive AI/ML adoption for data profiling and root cause analysis; Lead and develop a team of data quality engineers and analysts
Seniority
Manager, hands-on technical leadership
