Senior Technical Governance Manager

Senior Technical Governance Manager

Description:

We are dedicated to upholding user privacy as we responsibly innovate with AI. As a Senior Technical Governance Manager, you will develop and execute technical governance frameworks to ensure our AI/ML systems protect personal data, comply with various AI regulations, and uphold our commitment to guest safety and trust. You’ll empower teams to innovate responsibly and help us set the standard for AI governance in travel and tech.

Duties:

Technical Governance Frameworks: Design, implement, and continuously improve technical governance controls focused on managing risk in AI/ML systems, ensuring compliance with data protection laws (GDPR, CCPA, etc.) and AI laws, and internal standards.
AI Audit Methodologies: Develop, operationalize, and execute rigorous audit processes for AI models that address Privacy, InfoSec, Legal and other risks.
AI Risk Register Management: Build and maintain a living AI Risk Register that clearly identifies, tracks, and categorizes AI risks across our products and operations.
Governance Integration: Partner with Privacy, InfoSec, Legal, AI/ML engineers, data scientists and other stakeholders to identify opportunities to improve technical governance controls.
Executive & Regulatory Reporting: Produce clear, actionable reporting and dashboards for senior leadership and regulatory bodies, highlighting risks and mitigations in AI systems.
Regulatory Foresight: Monitor global privacy regulations and AI standards, ensuring our frameworks anticipate and address new requirements (e.g., EU AI Act, NIST AI RMF).
Culture of Governance: Champion and train teams on technical governance best practices, fostering a culture of transparency and accountability.

Requirements:

8+ years’ experience in technical governance, model risk management, or auditing in highly regulated or technology-focused sectors.
Solid knowledge of AI/ML systems and their governance challenges (bias, transparency, robustness, explainability, etc.).
Deep expertise in privacy/data protection frameworks and their application to AI/ML systems.
In-depth familiarity with model audit frameworks, governance standards, and compliance best practices.
Proven ability to build and scale governance processes in complex, high-growth technology environments.
Strong technical literacy, with an ability to communicate privacy risks and requirements to both technical and non-technical audiences.
Experience supporting global platforms or consumer-facing technologies is a strong plus.

Compensation:

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