The Operational Data Quality Lead is responsible for designing, implementing, and operating the enterprise Data Quality monitoring and remediation framework
Job Summary
The Operational Data Quality Lead is responsible for designing, implementing, and operating the enterprise Data Quality monitoring and remediation framework.
This role owns the end-to-end operational data quality lifecycle, including rule implementation, automated monitoring, dashboarding, issue detection, root cause analysis, and remediation tracking.
The role works in close partnership with Data & AI Stewardship, Data Engineering teams, Platform teams, and Business domain owners.
Matching Summary
The Operational Data Quality Lead is responsible for designing, implementing, and operating the enterprise Data Quality monitoring and remediation framework.
Skills & Requirements
Must-have
Informatica Data Quality (IDQ / IDMC DQ)
Data Quality rule development and profiling
SQL and data analysis skills
DQ dashboards using Power BI / Tableau
Data pipelines (ETL/ELT)
Cloud data platforms
Nice-to-have
Stakeholder management and facilitation
Positive disrupter
Product-oriented environment
Key Requirements
8–10+ years in Data Quality, Data Engineering, or Data Platforms
Deep hands-on experience with Informatica Data Quality
Strong SQL and data analysis skills
Experience building DQ dashboards
Strong understanding of Data pipelines
Proven experience leading Data quality incident investigations