Associate Director, Responsible AI & Governance

Verizon

Basking Ridge (NJ)

Híbrido

USD 126.000 - 242.000

Jornada completa

Hace 2 días
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Ventajas ofrecidas por este puesto de trabajo

Health insurance
401(k) match
Paid holidays

Descripción de la vacante

Verizon seeks an Associate Director of Responsible AI to lead enterprise-wide AI risk governance, ethics, and compliance across ML deployments in a global 5G network and customer experiences.

You will co-chair governance, architect auditing for bias and explainability, and partner with Legal and Privacy to navigate evolving regulations while advancing responsible AI practices. Hybrid work with strategic leadership expected.

Formación

  • Bachelor’s degree or 4+ years of work experience.
  • 8+ years in technology policy, data governance, legal, risk management, or data science.
  • 3+ years of direct leadership in AI Governance or Responsible AI at enterprise scale.
  • Deep understanding of ML lifecycles and risks with LLMs.
  • Experience translating AI/data regulations into enterprise compliance.

Responsabilidades

  • Define and scale RAI framework aligned with global standards.
  • Co-chair AI Governance Council; establish go/no-go criteria.
  • Design AI auditing for bias, fairness, explainability.
  • Collaborate with Legal, Privacy, Public Policy on regulations.
  • Lead AI red-teaming and stress-testing in production models.
  • Partner with ML engineers to embed RAI in CI/CD lifecycle.
  • Develop training on AI ethics and data privacy.

Conocimientos

AI governance
Responsible AI
Tech ethics
Stakeholder mgmt
Regulatory compliance
Leadership

Educación

Bachelor’s degree
Advanced degree (MS/JD/PhD)

Descripción del empleo

Verizon seeks an Associate Director of Responsible AI to lead enterprise-wide AI risk governance, ethics, and compliance across ML deployments in a global 5G network and customer experiences.

You will co-chair governance, architect auditing for bias and explainability, and partner with Legal and Privacy to navigate evolving regulations while advancing responsible AI practices. Hybrid work with strategic leadership expected.

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