Assoc Director - Responsible AI

When you join Verizon

You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.

What you'll be doing…

As the Associate Director of Responsible AI, you will lead Verizon’s enterprise-wide efforts to ensure our artificial intelligence and machine learning technologies are developed, deployed, and scaled safely, ethically, and equitably. Sitting at the intersection of technology, law, and business, you will serve as the central authority on AI risk and governance as Verizon continues to integrate advanced AI across our global 5G network and customer experiences.

Defining, scaling, and managing Verizon’s enterprise-wide Responsible AI (RAI) framework to align with global standards like the NIST AI RMF.

Co-chairing the AI Governance Council, facilitating strategic reviews of high-impact AI use cases, and establishing clear "go/no-go" criteria for model deployment.

Designing and implementing AI auditing processes focused on bias mitigation, algorithmic fairness, transparency, and explainability.

Partnering with Legal, Privacy, and Public Policy teams to navigate the rapidly evolving AI regulatory landscape (e.g., EU AI Act, FTC guidelines) and ensure strict compliance.

Leading cross-functional AI "red-teaming" and stress-testing initiatives to identify vulnerabilities and edge-case failures in production models.

Collaborating with ML engineers and product managers to embed RAI checkpoints directly into the CI/CD pipeline and ML lifecycle (MLOps).

Developing comprehensive training programs to upskill Verizon’s workforce on AI ethics, data privacy, and responsible development practices.

What we're looking for…

You are a strategic leader who seamlessly bridges the gap between complex technical algorithms and enterprise risk. You have a deep passion for technology ethics and possess the unique ability to translate abstract principles—like fairness and privacy—into measurable engineering metrics and operational workflows. With exceptional stakeholder management skills, you are just as comfortable discussing prompt injection risks with data scientists as you are presenting governance strategies to C-suite executives.

You'll need to have:

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 the specific ethical risks associated with Large Language Models (LLMs).

Demonstrated experience translating global AI and data regulations (e.g., NIST AI RMF, EU AI Act, GDPR, CCPA) into enterprise compliance strategies.

Even better if you have one or more of the following:

A Master’s degree, JD, or PhD in Law, Public Policy, Computer Science, Data Ethics, Human-Computer Interaction, or a related field.

Experience operating within highly regulated industries such as Telecommunications, Financial Services, or Healthcare.

Active certifications in privacy or risk (e.g., CIPP/US, CIPT) or relevant AI ethics credentials.

A proven track record of representing your organization in industry consortiums, academic partnerships, or standard-setting bodies focused on AI ethics and safety.

Where you’ll be working

In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.

Scheduled Weekly Hours

40

Equal Employment Opportunity

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.

Benefits and Compensation

Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.

The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours.The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $126,000.00 - $242,000.00.

When you join Verizon

You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.

What you'll be doing…

As the Associate Director of Responsible AI, you will lead Verizon’s enterprise-wide efforts to ensure our artificial intelligence and machine learning technologies are developed, deployed, and scaled safely, ethically, and equitably. Sitting at the intersection of technology, law, and business, you will serve as the central authority on AI risk and governance as Verizon continues to integrate advanced AI across our global 5G network and customer experiences.

• Defining, scaling, and managing Verizon’s enterprise-wide Responsible AI (RAI) framework to align with global standards like the NIST AI RMF.

• Co-chairing the AI Governance Council, facilitating strategic reviews of high-impact AI use cases, and establishing clear "go/no-go" criteria for model deployment.

• Designing and implementing AI auditing processes focused on bias mitigation, algorithmic fairness, transparency, and explainability.

• Partnering with Legal, Privacy, and Public Policy teams to navigate the rapidly evolving AI regulatory landscape (e.g., EU AI Act, FTC guidelines) and ensure strict compliance.

• Leading cross-functional AI "red-teaming" and stress-testing initiatives to identify vulnerabilities and edge-case failures in production models.

• Collaborating with ML engineers and product managers to embed RAI checkpoints directly into the CI/CD pipeline and ML lifecycle (MLOps).

• Developing comprehensive training programs to upskill Verizon’s workforce on AI ethics, data privacy, and responsible development practices.

What we're looking for…

You are a strategic leader who seamlessly bridges the gap between complex technical algorithms and enterprise risk. You have a deep passion for technology ethics and possess the unique ability to translate abstract principles—like fairness and privacy—into measurable engineering metrics and operational workflows. With exceptional stakeholder management skills, you are just as comfortable discussing prompt injection risks with data scientists as you are presenting governance strategies to C-suite executives.

You'll need to have:

• 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 the specific ethical risks associated with Large Language Models (LLMs).

• Demonstrated experience translating global AI and data regulations (e.g., NIST AI RMF, EU AI Act, GDPR, CCPA) into enterprise compliance strategies.

Even better if you have one or more of the following:

• A Master’s degree, JD, or PhD in Law, Public Policy, Computer Science, Data Ethics, Human-Computer Interaction, or a related field.

• Experience operating within highly regulated industries such as Telecommunications, Financial

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