Quality Assurance Specialist

About the role

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
• recertification
• evidence generation

The role will help mature a control plane that provides visibility into AI data readiness, data quality health, control coverage, exceptions, incidents, remediation status, and audit-ready evidence.