Senior Manager - Responsible AI

Cellco Partnership; Basking Ridge (NJ); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Verizon seeks a Senior Manager of Responsible AI to lead enterprise-wide efforts ensuring AI/ML are developed, deployed, and scaled safely, ethically, and equitably across the global 5G network and customer experiences.

In this role, you will co-chair the AI Governance Council, design auditing processes for bias and fairness, and partner with Legal and Privacy to navigate evolving regulations while integrating RAI into the CI/CD and MLOps lifecycle.

Qualifications

• 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.

Responsibilities

• Define, scaling, and managing Verizon's enterprise-wide Responsible AI (RAI) framework to align with global standards like the NIST AI RMF.
• Co-chair the AI Governance Council, facilitating strategic reviews of high-impact AI use cases, and establishing clear "go/no-go" criteria for model deployment.
• Design and implementing AI auditing processes focused on bias mitigation, algorithmic fairness, transparency, and explainability.
• Partner 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.
• Lead cross-functional AI "red-teaming" and stress-testing initiatives to identify vulnerabilities and edge-case failures in production models.
• Collaborate with ML engineers and product managers to embed RAI checkpoints directly into the CI/CD pipeline and ML lifecycle (MLOps).
• Develop comprehensive training programs to upskill Verizon's workforce on AI ethics, data privacy, and responsible development practices.

Job description

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.

Why Verizon?

If you want to move beyond check-the-box compliance and actually shape how AI operates at national scale, this is your seat at the table. Verizon is rapidly scaling generative AI, autonomous workflows, and predictive intelligence across our global 5G network and tens of millions of daily customer interactions. Backed by deep partnerships with Google Cloud, AWS, NVIDIA, and Anthropic's frontier safety initiatives, we are building an enterprise-wide Responsible AI engine that turns ethical principles into automated MLOps checkpoints and real-time red-teaming. You'll sit directly at the intersection of engineering, law, and C-suite strategy-helping a Fortune 20 technology leader innovate aggressively without compromising trust, fairness, or privacy.

What you'll be doing...

As the Senior Manager 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.

In this role you will...

• Define, scaling, and managing Verizon's enterprise-wide Responsible AI (RAI) framework to align with global standards like the NIST AI RMF.
• Co-chair the AI Governance Council, facilitating strategic reviews of high-impact AI use cases, and establishing clear "go/no-go" criteria for model deployment.
• Design and implementing AI auditing processes focused on bias mitigation, algorithmic fairness, transparency, and explainability.
• Partner 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.
• Lead cross-functional AI "red-teaming" and stress-testing initiatives to identify vulnerabilities and edge-case failures in production models.
• Collaborate with ML engineers and product managers to embed RAI checkpoints directly into the CI/CD pipeline and ML lifecycle (MLOps).
• Develop 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 also have...

• 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 offi