Systems Manager, AI Data Engineering

Overview

Responsibilities

• Lead the design, development, and operation of enterprise-grade data engineering pipelines that support analytics, machine learning, and AI use cases across Con Edisons business and operational domains
• Build and scale batch and streaming data ingestion frameworks integrating enterprise, operational, and external data sources into trusted, production-ready environments
• Develop and maintain ETL/ELT processes, data models, and transformations that ensure accuracy, consistency, and performance across data lakes, warehouses, and feature stores
• Implement robust technical data quality rules, including schema validation, range checks, and automated reconciliation to maintain integrity and auditability
• Capture and manage metadata and lineage across all ingestion and transformation processes to support transparency, compliance, and explainable AI
• Enforce enterprise security standards through encryption, access controls, and role-based data permissions that protect sensitive operational and customer information
• Establish data observability practices for pipeline health, monitoring, alerting, and performance metrics to drive operational reliability and efficiency
• Collaborate with data science and AI teams to build reusable feature engineering pipelines and scalable compute environments that enable model development and deployment
• Partner with platform, governance, and cybersecurity teams to ensure all data operations comply with regulatory, privacy, and audit requirements in a utility-grade environment
• Continuously improve pipeline reliability, scalability, and cost efficiency through automation, optimization, and modern engineering practices
• Lead and develop a team through coaching, performance management, and effective work assignment to drive aligned execution and business outcome

Qualifications

• Master's Degree and a minimum of 6 years full-time relevant work experience or
• Bachelor's Degree and a minimum of 8 years of full-time relevant work experience.

• Master's Degree in Business Administration, Finance, Accounting, Management Information Systems, Information Systems, related business or technology aligned field and a minimum of 6 years full-time relevant work experience

• Demonstrated experience leading enterprise data engineering teams responsible for building, operating, and scaling secure and reliable data pipelines in regulated environments, preferred
• Proven ownership of end-to-end data engineering platforms, including data ingestion, transformation, storage, and delivery supporting analytics, AI, and operational systems, preferred
• Strong background designing production grade data pipelines that meet utility grade standards for reliability, performance, data quality, security, and compliance, preferred
• Hands on experience supporting data pipelines for grid operations, asset management, forecasting, and customer analytics, preferred
• Demonstrated ability to embed data quality controls, validation, and observability directly into data pipelines to support regulatory reporting and operational decision making, preferred
• Experience collaborating closely with AI, data science, governance, cybersecurity, and business teams to standardize and optimize enterprise data pipelines, preferred
• Proven track record delivering curated, trusted, and scalable datasets that support machine learning, AI lifecycle management, and advanced analytics, preferred
• Experience implementing secure data access patterns, encryption, and privacy controls across enterprise data engineering platforms, preferred
• Demonstrated experience operating mission critical data systems with strong incident management, monitoring, and continuous improvement practices, preferred
• Ability to translate enterprise data and AI strategy into actionable data engineering roadmaps that deliver measurable business value, preferred

• Strong written and verbal communication skills
• Builds and manages effective teams
• Ability to drive multiple projects to successful completion
• Ability to work within tight timeframes and meet strict deadlines

• Driver's License Required
• Project Management Professional (PMP) Preferred
• Certified Project Management (CPM) Preferred

• Sit or stand to use a keyboard, mouse, and computer for the duration of the workday

• The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays.