Electric Distribution Program Manager

Dominion Energy is committed to providing reliable, affordable, and increasingly clean energy that powers our customers every day. If you want to work for a purpose-driven company that values safety and collaboration, we're looking for you. You won't just find a job here; you'll find your career. Review the position below and apply today.

We offer a hybrid 3-2 work schedule (three days in the office, two days of teleworking) to accommodate the need for flexibility.

Military service members and veterans with ranks from E5-E9, W1-CW5, or O3-O6, plus appropriate equivalent combination of education and years of experience as outlined below will be considered for this opportunity.

Relocation may be available to the successful candidate

Job Summary

This role includes dual responsibility for developing and managing programs to support the organization's strategic direction, with a specialized focus on leveraging Generative AI and Large Language Models (LLMs) to enhance Electric Distribution workflows and productivity. The Program Manager will create and manage long-term goals, budgets, operating plans, and business cases to achieve prescribed programmatic objectives, including the deployment of Generative AI-powered solutions to support productivity, knowledge transfer, and technical and engineering analysis.

Lead the development of strategic business partnerships across internal departments, external customers, regulatory bodies, and industry peers, while serving as a consistent and accurate spokesperson for the company. This role involves researching, developing, and implementing Generative AI solutions to support business stakeholders and delivering timely status reports throughout the implementation lifecycle. Collaborate with Electric Distribution business teams to refine process—particularly those leveraging Generative AI and advanced analytics—and ensure transparent communication with stakeholders regarding project decisions. Support contract negotiations and regulatory filings, including RFPs, while maintaining compliance and execution standards. Monitor budgets, establish project timelines and milestones, and manage scope, scope changes, and project costs. Drive customer outreach and ensure fulfillment of customer commitments.

Required Knowledge, Skills, Abilities & Experience

The knowledge, skills, abilities and experiences that are required for entry into this job include the following:

• 7-8+ years related electric utility industry and/or Generative AI experience.
• Deep understanding of Generative AI principles, transformer architectures, and attention mechanisms.
• Experience working with state-of-the-art LLMs (e.g., GPT-4, Claude, LLaMA) and domain-specific fine-tuned models.
• Prior experience in both team and process management.
• Strong leadership, organizational, resolution management, and team building skills.
• Excellent written and verbal communication skills.
• Ability to identify and assess risks and opportunities.
• Skilled in prompt engineering, retrieval-augmented generation (RAG), and chain-of-thought prompting for utility applications
• Experience building and training supervised and unsupervised models for classification, regression, clustering, and anomaly detection
• Familiarity with cloud-based ML platforms (Azure ML, AWS SageMaker, GCP Vertex AI) and containerization tools (Docker, Kubernetes).
• Understanding of ML Ops practices (CI/CD pipelines, model versioning, monitoring, rollback strategies).
• Awareness of data privacy regulations (NERC CIP, GDPR) and secure handling of sensitive utility data.
• Experience implementing access controls, encryption, and audit logging in AI workflows.
• Ability to build user-friendly interfaces for engineering and field staff (Streamlit, Dash, Power Apps).
• Experience with version control (Git), agile development methodologies, and collaborative coding environments.
• Strong communication skills to explain AI concepts to non-technical stakeholders.
• Ability to work with engineers, analysts, and field crews to gather feedback and iterate on solutions

Preferred Qualifications:

• Knowledge of electric distribution infrastructure (feeders, substations, transformers, protective devices).
• Ability to fine-tune models using electric distribution data sets (outage logs, asset metadata, crew dispatch records, engineering manuals).
• Proficient in data wrangling and preprocessing (Pandas, NumPy, SQL).

Education Requirements

• Bachelor's degree preferred in:

• • Electrical Engineering
• Electrical Engineering Technology
• Computer Engineering
• Computer Science
• Data Science
• Information Systems
• Software Engineering
• Engineering Technology
• Applied Mathematics

• Other related STEM fields

• An equivalent combination of education and demonstrated related experience may be accepted in lieu of the preferred degree.

Contact your HR Business Partner for other disciplines that may be substituted, if permissible.

Licenses, Certifications, or Quals Description
Working Conditions

Office Work Environment %

Travel Up to 25%

Other Working Conditions
Test Description

No Testing Required

Export Control

Certain positions at Dominion Energy may involve access to information and technology subject to export controls under U.S. law. Compliance with these export controls may result in Dominion Energy limiting its consideration of certain applicants.

Other Information

We offer excellent plans and programs for employees. Employees are rewarded with a competitive salary and comprehensive benefits package which may include: health benefits with coverage for families and domestic partners, vacation, retirement plans, paid holidays, tuition reimbursement, and much more. To learn more about our benefits, click here

Dominion Energy is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin and/or status as a protected veteran or individual with a disability.

You can experience the excitement of our company – it's the difference between taking a job and starting a career.

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