The Systems Manager, AI Data Engineering, leads the development, operation, and scaling of secure, reliable, and high-performance data pipelines and platforms that power Con Edison's analytics, AI, and operational systems. This role ensures data is accurate, timely, and production-ready to support critical functions such as grid operations, asset management, forecasting, and customer analytics. The manager oversees all aspects of enterprise data engineering, including ingestion, transformation, storage, and delivery, ensuring that systems meet utility-grade standards for reliability, data quality, security, and compliance.Working at the intersection of data platforms and AI delivery, the Systems Manager, AI Data Engineering, collaborates with AI, governance, cybersecurity, and business teams to standardize and optimize data pipelines across the enterprise. The role embeds data quality controls and observability within pipelines to enable regulatory reporting, operational decision-making, and AI lifecycle management. By delivering curated, scalable, and trusted datasets, this position empowers advanced analytics, machine learning, and AI initiatives that drive safe, explainable, and reliable business outcomes.