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 V Team Life.
As a leader in the AI Center, you will use your expertise in model risk management, experience with implementation of AI, and experience in leading and building a team. You will focus on operationalizing AI and GenAI risk management across Verizon, which includes but is not limited to bias testing, bias mitigation, risk assessment, independent ethics review, and other risk management operations to make sure Verizon models comply with NIST AI RMF and other AI regulations.
You will work closely with data science teams and the entire data scientist community at Verizon in proactively designing and developing unbiased, ethical and interpretable AI and GenAI capabilities. These AI and GenAI capabilities will include predictive, prescriptive, adaptive, and generative applications for all predictions and inferences at Verizon. Models will typically get implemented on-premise, in cloud and/or on the edge, and in both real-time and batch mode depending upon the business applications.
At Verizon, we are on a multi-year journey to industrialize our data science and AI capabilities. Very simply, this means that AI will fuel all decisions and business processes across the company. At $130B+ in annual revenue, this is a pioneering opportunity to design and shape AI at scale in the Telco industry. With our leadership in bringing 5G network nationwide, the opportunity for AI will only grow exponentially in going from enabling billions of predictions to possibly trillions of predictions that are automated and real-time. Therefore, it will be critical that this candidate possess previous experience in research and validation of AI and data science techniques.
Work collaboratively with different stakeholders to proactively manage AI risk during model development and post-production
Stay informed on the latest responsible AI trends in both industry and academia, updates of laws/policies/regulations, and finding ways to deliver value by applying and customizing these to our specific problem space.
Develop testing and validation rigor for all new and next-generation AI methods.
Collaborate with data scientist teams and senior leaders to ensure model testing and validation discipline is followed for all models, including models deployed in production.
Establish best practices to ensure adherence to model management guidelines and compliance with our policy standards for privacy, ethics, and bias.
Inspire our team to create AI applications designed with bias considerations that promote responsible AI both within Verizon and externally with Verizon’s partners.
Engage with teams across Verizon, develop strong trust and relationships, and identify opportunities to make a further impact on Verizon’s ethical and responsible use of AI.
You have excellent communication, critical thinking, and strategic thinking skills above and beyond the technical knowledge and commercial application experience.
Bachelor's degree or four or more years of work experience.
Six or more years of relevant work experience.
Experience leading model risk management focusing on AI ethics or model fairness.
Expertise in AI ethics and responsible AI, passion, and ability to keep abreast of the latest developments in the field and regulation.
Expert-level understanding and ability to explain both the code and the underlying math used in algorithms/models.
Coding proficiency with experience in Python, Java, and/or R
Masters of Science in Computer Science, Mathematics, or a related technical field
Expert level knowledge of AI/ML models, frameworks(keras, pytorch, etc.) and libraries/packages/apis (e.g., scikit)
Excellent cross-functional collaboration skills, particularly with control functions like legal, privacy, CISO, governance, internal audit, etc.
Experience with public cloud or other distributed computing services
Outstanding analytical and problem-solving skills
Exceptional communication skills, both written and verbal.
If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.
We’re proud to be an equal opportunity employer - and celebrate our employees’ differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion page to learn more.
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