IT Governance (Director, Standards & Integration)

You will help build and scale an integrated Data Quality and AI assurance capability that supports intake, risk classification, pre-release review, production monitoring, exception management, and audit-ready documentation. This includes supporting the development of dashboards, KPI/KRI reporting, control execution routines, and evidence packages that provide transparent visibility into data quality health, AI risk posture, remediation progress, and adherence to enterprise policy and standards.

You will lead and coordinate assurance execution for enterprise data quality and Responsible AI controls, ensuring that prioritized data products, critical data elements, AI products, models, and GenAI solutions are assessed against defined standards, thresholds, and evidence expectations. The role requires strong technical judgment, disciplined execution, and the ability to work across global stakeholders to convert governance expectations into repeatable testing, monitoring, and reporting practices.