Senior Technical Governance Manager

Roles: Senior Technical Governance Manager

Duration: 6+ months

Location : 100% Remote

Job Description
Client is 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 *** set the standard for AI governance in travel and tech.

Key Responsibilities
Technical Governance Frameworks: Design, implement, and continuously improve technical governance controls focused on managing risk in ***’s AI/ML systems, ensuring compliance with data protection laws (GDPR, CCPA, etc.) and AI laws, and ***’s 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 ***’s 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 ***’s 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.

Qualifications
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.