Con Edison · 6 hours ago
Systems Manager, AI Data Engineering
New York, NY
Full-time
Onsite
Senior Level
$140K/yr - $190K/yr
6+ years expCon Edison is a major utility company that is seeking a Systems Manager for AI Data Engineering. This role leads the development and operation of data pipelines that support analytics and AI initiatives, ensuring data quality and compliance while collaborating with various teams to standardize and optimize data processes.
Utilities
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
Qualification
Required
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
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
Preferred
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
Project Management Professional (PMP) Preferred
Certified Project Management (CPM) Preferred
Company
Con Edison
We provide power to more than 10 million people and businesses across NYC and Westchester.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Joeann Walker
Policy Advocacy Leader, Economic Empowerment Platform, CEO Action for Racial Equity Fellow
Kimberly Strong
Vice President, Chief Ethics & Compliance Officer
Company data provided by crunchbase