Cynet systems Inc
Senior Technical Governance Manager - Remote / Telecommute
Cynet systems Inc, San Francisco, California, United States, 94199
Pay Range: $98.44hr - $103.44hr
Responsibilities
Technical Governance Frameworks: Design, implement, and continuously improve technical governance controls focused on managing risk in clients’ AI/ML systems, ensuring compliance with data protection laws (GDPR, CCPA, etc.) and AI laws, and clients’ 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 the client’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 clients’ 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.
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Responsibilities
Technical Governance Frameworks: Design, implement, and continuously improve technical governance controls focused on managing risk in clients’ AI/ML systems, ensuring compliance with data protection laws (GDPR, CCPA, etc.) and AI laws, and clients’ 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 the client’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 clients’ 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.
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