VP, Enterprise Responsible AI & Data Quality Assurance Lead

What you'll do

• Own the enterprise measurement strategy for Responsible AI and Data Quality.
• Design executive-level dashboards for transparent visibility into compliance and risks.
• Establish assurance operating models aligned with internal policies and external standards.
• Lead governance cadence forums, setting agendas and managing risk/issue intake.
• Define technical reviews and assurance checkpoints for AI products pre-release and in-production.
• Embed data quality and responsible AI requirements into product delivery processes.

What we're looking for

• Deep expertise in Data Quality frameworks and enterprise data governance operating models.
• Extensive knowledge of Responsible AI policy-to-implementation across fairness, explainability, robustness, privacy, and human oversight.
• Hands-on experience with machine learning, deep learning, and AI model deployment.
• Proficiency in dashboarding tools for AI and data reporting (e.g., Power BI, Tableau).
• Strong ability to create executive-level dashboards and reports on risk, trends, exceptions, and remediation.
• Solid understanding of regulatory standards and ethical requirements for AI (GDPR, CCPA, NIST, ISO).