Perform data quality checks across critical datasets
Execute and maintain data quality rules, thresholds, scorecards, and control reports
Conduct data profiling, reconciliation, and trend analysis
Investigate data quality issues and perform root-cause analysis
Run and optimize SQL-based validations and exception reporting
Support remediation activities by defining and tracking issue logs
Prepare data quality reports, dashboards, and management updates
Work with stakeholders to improve data collection, validation, and control processes
Monitor and report on data quality KPIs and SLA adherence

12-15 years of experience in data quality, data analysis, data governance, or related enterprise data roles
Strong hands-on experience in data validation, profiling, reconciliation, issue analysis, and reporting
Good understanding of cloud platforms such as Azure, AWS, or GCP
Working knowledge of AI / ML concepts
Understanding of AI model and data evaluation concepts
Familiarity with responsible AI and AI governance principles
Solid knowledge of SQL, data analysis, reporting, metadata, and enterprise data flows
Relevant certifications in cloud, data management, data governance, or analytics are a plus
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field

Senior Data Quality Steward – AI Engineer

Key skills