In this role, the leader acts as the primary strategic bridge across the enterprise. They interact daily with and rely heavily upon VP and SVP-level executives across Legal, Information Security (InfoSec), and Responsible AI (RAI). Partner closely with AI Platform Engineering leaders who build the models, and they guide BU-level AI product owners to ensure compliance. Direct a specialized team of Principal AI Engineers and Scientists. Rely on Verizon's corporate compliance policies, RIL (Responsible AI, Integrity, Legal) frameworks, and industry AI safety standards (e.g., NIST AI RMF). Utilizes executive dashboards, cloud governance frameworks (AWS/GCP), AI registration hubs (Engram, Agent Registry), and the 4-Quadrant AI Evaluation architecture to make strategic go/no-go deployment decisions. Responsible for the leveraging of big data tools and programming frameworks to ensure that the raw data gathered from data pipelines are redefined as data science models that are ready to scale as needed. Manages a team of employees including planning work and dividing it among employees. Ensures that production ML tasks are working properly and that data science code is maintainable and scalable using subject matter expertise.
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Job Type
Full-time
Career Level
Manager