The Systems Manager, Enterprise Data Science and AI, leads the development and application of advanced analytics, statistical modeling, machine learning, and agent-enabled AI to deliver actionable insights, predictions, and decision support across Con Edison's grid operations, asset management, forecasting, customer analytics, and enterprise planning functions. The role uses Google Vertex AI as the primary platform for model development, orchestration, and lifecycle management, including agentic AI capabilities. This position ensures that predictive models and agent-based workflows are secure, explainable, auditable, and aligned with enterprise governance standards, especially when AI driven outputs influence operational or customer facing decisions.Operating in a mission critical, regulated utility environment, the Systems Manager, Enterprise Data Science and AI, translates business and operational needs into well-defined data science and modeling requirements, working closely with Data Engineering, AI Platform, and Data Quality Assurance teams. The role is accountable for data quality validation, feature consistency, model performance, and ongoing monitoring for drift and anomalies. In addition to owning the end-to-end data science and agent lifecycle, the position serves as a bridge between advanced AI capabilities and real-world operational adoption, ensuring solutions deliver measurable value while meeting Con Edison's non-negotiable standards for safety, compliance, and operational resilience.
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Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed