Quality Assurance Specialist
Summary
Embeds quality controls into data sourcing, AI lifecycle, and pipeline workflows to ensure compliance and reliability.
Description 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 is accountable for making quality and governance requirements executable in the flow of delivery by embedding controls into data sourcing, ADS and data product certification, metadata and lineage workflows, pipeline validation, AI lifecycle gates, monitoring, exception management, remediation…