Specialist, Data Quality & Responsible AI Control Operations

Role Summary

The Specialist, Data Quality & Responsible AI Control Operations is a hands-on role responsible for implementing, maintaining, and improving data quality and AI data readiness controls across authorized data sources, data products, and AI use cases. This role supports the connection between data architecture, hands-on data modeling, data management, Responsible AI, and control operations to help ensure AI products consume governed, traceable, fit-for-purpose, and high-quality data. The ideal candidate brings practical experience in data quality engineering, data modeling, data governance, metadata, lineage, control execution, and automation, with the ability to work closely with domain, technology, risk, compliance, audit, and AI governance stakeholders.

Team Context

This role sits at the intersection of Data Management & Governance, enterprise data quality assurance, Responsible AI operations, data architecture, and technology risk management.



The position supports execution of quality and governance requirements in the flow of delivery by helping embed controls into data sourcing, ADS and data product certification, metadata and lineage workflows, pipeline validation, AI lifecycle gates, monitoring, exception management, remediation, recertification, and evidence generation. The role will contribute to control-plane capabilities that provide visibility into AI data readiness, data quality health, control coverage, exceptions, incidents, remediation status, and audit-ready evidence.

Key Responsibilities
- Implement data quality and AI data readiness controls across authorized data sources, data products, semantic products, and AI use cases.
- Support definition and application of AI-ready data criteria, including quality thresholds, lineage completeness, metadata completeness, source authorization, classification, access controls, issue history, freshness, and remediation expectations.
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📌 Data Quality Lead (Delhi)
🏢 Cognizant
📍 Delhi