Senior Data Quality Steward – AI Engineer

State Street

Data Quality Engineer focused on ensuring data accuracy and reliability across enterprise systems. Collaborating with teams to execute data quality checks and remediation.

Posted 5/26/2026full-timeBangalore • 🇮🇳 IndiaSeniorWebsite

ATS Keywords

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Hard Skills

data qualitydata analysisdata governancedata validationdata profilingdata reconciliationSQLreportingmetadataenterprise data flows

Soft Skills

stakeholder collaborationissue analysisroot-cause analysisprocess improvementcommunication

Tools & Technologies

AzureAWSGCPdashboardsdata quality reports

Certifications & Qualifications

cloud certificationsdata management certificationsdata governance certificationsanalytics certifications

Industry Keywords

data quality KPIsSLA adherenceAI conceptsML conceptsresponsible AIAI governance

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

Inclusive development opportunities
Flexible work-life support
Paid volunteer days
Vibrant employee networks