Associate Director – Responsible AI

Verizon

. Lead Verizon’s enterprise-wide efforts to ensure AI and machine learning technologies are developed, deployed, and scaled safely, ethically, and equitably .

Posted 9/20/2026full-timeUnited StatesLead💰 $126,000 - $242,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI Governance, Responsible AI, and ethical technology practices, with a strong focus on compliance with global standards such as NIST AI RMF and EU AI Act. Proven ability to lead cross-functional teams in implementing AI auditing processes and developing training programs on AI ethics and data privacy.

Highest-signal resume keywords

AI GovernanceResponsible AIMachine Learning LifecycleNIST AI RMF ComplianceAI Ethics Training

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningAI AuditingBias MitigationAlgorithmic FairnessData GovernanceRisk ManagementGenerative AI TechnologiesLarge Language Models (LLMs)Compliance Strategy DevelopmentAI/ML Risk Management

Soft Skills

LeadershipCollaborationStrategic Review FacilitationCommunication

Tools & Technologies

CI/CD PipelinesMLOps

Certifications & Qualifications

CIPP/USCIPT

Industry Keywords

TelecommunicationsFinancial ServicesHealthcareData PrivacyAI Ethics

About the role

Key responsibilities & impact

Lead Verizon’s enterprise-wide efforts to ensure AI and machine learning technologies are developed, deployed, and scaled safely, ethically, and equitably
Define, scale, and manage Verizon’s enterprise-wide Responsible AI framework aligned with global standards such as NIST AI RMF
Co-chair the AI Governance Council
Facilitate strategic reviews of high-impact AI use cases
Establish go/no-go criteria for model deployment
Design and implement AI auditing processes focused on bias mitigation, algorithmic fairness, transparency, and explainability
Partner with Legal, Privacy, and Public Policy teams on AI regulatory compliance
Lead cross-functional AI red-teaming and stress-testing initiatives
Collaborate with ML engineers and product managers to embed Responsible AI checkpoints into CI/CD pipelines and the MLOps lifecycle
Develop training programs on AI ethics, data privacy, and responsible development practices

Requirements

What you’ll need

Bachelor’s degree or four or more years of work experience
Eight or more years of relevant work experience in technology policy, data governance, legal, risk management, or data science
Three or more years of direct leadership experience in AI Governance, Responsible AI, Tech Ethics, or AI/ML Risk Management at an enterprise scale
Deep understanding of machine learning lifecycles, generative AI technologies, and ethical risks associated with Large Language Models (LLMs)
Demonstrated experience translating global AI and data regulations, including NIST AI RMF, EU AI Act, GDPR, and CCPA, into enterprise compliance strategies
Experience operating within highly regulated industries such as Telecommunications, Financial Services, or Healthcare
Active certifications in privacy or risk, such as CIPP/US or CIPT, or relevant AI ethics credentials
Track record of representing an organization in industry consortiums, academic partnerships, or standard-setting bodies focused on AI ethics and safety

Benefits

Comp & perks

Medical, dental, vision, short- and long-term disability, basic life insurance, supplemental life insurance, and AD&D insurance
Identity theft protection
Pet insurance
Group home and auto insurance
Matched 401(k) savings plan
Up to 8 company-paid holidays per year
Up to 6 personal days per year
Paid parental leave
Adoption assistance
Tuition assistance
Other incentives
Potential premium pay such as overtime, shift differential, holiday pay, and allowances
Up to 15 days of vacation per year for newly hired employees, increasing with additional service