Systems Manager - Enterprise Data Science and AI jobs in United States
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Con Edison · 11 hours ago

Systems Manager - Enterprise Data Science and AI

Con Edison is a major utility company in New York, seeking a Systems Manager for their Enterprise Data Science and AI team. This role involves leading data science initiatives to generate insights and predictions, translating business needs into analytical requirements, and ensuring compliance with governance standards in a regulated environment.

Utilities
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Growth Opportunities

Responsibilities

Lead data science efforts to generate insights, predictions, and decision support across enterprise and operational use cases
Translate business and operational needs into analytical, statistical, and modeling requirements
Specify data and feature requirements needed to support modeling and analysis
Consume curated, analytics-ready and feature-ready datasets provided by data engineering teams
Validate the statistical soundness and suitability of datasets for analysis and modeling
Use enterprise metadata and data definitions to understand data meaning, scope, and limitations
Leverage mastered and reference data to ensure consistency across analyses and models
Identify and flag data quality issues that may impact analytical accuracy or model performance
Request and maintain appropriate data access in alignment with security and governance policies
Design features and transformations required for predictive and machine learning models
Develop, train, test, and evaluate statistical, machine learning, and AI models
Support model deployment in partnership with AI platform and engineering teams
Monitor model performance, data drift, and input anomalies in production environments
Document models, assumptions, and limitations to support transparency and auditability
Collaborate with governance, engineering, and platform teams to ensure compliance with regulatory and enterprise standards
Lead and develop a team of managers through coaching, performance management, and effective work assignment to drive aligned execution and business outcomes

Qualification

Google Vertex AIMachine LearningData ScienceStatistical ModelingAI Solutions ComplianceData Quality ValidationFeature EngineeringProject ManagementTeam ManagementCommunication Skills

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 full-time relevant work experience
Strong written and verbal communication skills
Builds and manages effective teams
Well organized, detail oriented and flexible to handle multiple assignments
Demonstrated project management skills
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 science and AI teams delivering advanced analytics, statistical models, machine learning solutions, and agent enabled AI capabilities in regulated environments
Proven hands-on experience using Google Vertex AI for model development, orchestration, deployment, and lifecycle management, including support for agent-based workflows
Strong background translating complex business and operational needs into well-defined data science, modeling, and analytical requirements
Demonstrated experience developing predictive and prescriptive models that support grid operations, asset management, forecasting, customer analytics, and enterprise planning
Proven ability to design and operate secure, explainable, auditable, and compliant AI solutions, especially when outputs influence operational or customer facing decisions
Experience owning the full data science and agent lifecycle, including data exploration, feature engineering, model training, validation, deployment, monitoring, and continuous improvement
Strong expertise in data quality validation, feature consistency management, model performance tracking, and monitoring for drift and anomalies in production systems
Demonstrated ability to collaborate closely with Data Engineering, AI Platform, and Data Quality Assurance teams to ensure reliable and scalable AI solutions
Experience operating AI and analytics solutions in mission critical, safety sensitive environments with strict requirements for reliability, compliance, and operational resilience
Proven track record bridging advanced AI capabilities with real world operational adoption, delivering measurable business value while meeting non-negotiable safety and regulatory standards
Project Management Professional (PMP) Preferred
Certified Project Management (CPM) Preferred
Other: GCP Professional Certification Preferred
Other: Databricks Professional Certification Preferred

Benefits

Rich medical & pharmacy benefits, including vision benefits
Dental benefits
Health Savings Accounts
Health Care and Dependent Care Flexible Spending Accounts
401(k) with robust matching
Employer paid Pension Plan
Employee Stock Purchase Plan with a generous matching contribution
State of the art Employee Assistance Program
Paid Parental Leave
Generous paid time off plus paid holidays
Family support: emergency backup child, & elder care assistance
Social responsibility and volunteer opportunities
Employee discount program
Commuter Benefits
Culture of growth and learning: career development; tuition reimbursement; recognition program
Life and Long-Term Disability Benefits

Company

Con Edison

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We provide power to more than 10 million people and businesses across NYC and Westchester.

Funding

Current Stage
Late Stage

Leadership Team

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Joeann Walker
Policy Advocacy Leader, Economic Empowerment Platform, CEO Action for Racial Equity Fellow
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Kimberly Strong
Vice President, Chief Ethics & Compliance Officer
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Company data provided by crunchbase