Senior AI Product Manager – Enterprise AI Strategy

PSEG.com; The Ironbound (NJ); Hybrid; USD 130,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, vision

Parental and family leave

Tuition reimbursement

401(k) with company match

Generous paid time off

Day-one benefits

Job summary

PSEG is seeking an AI Business Product Manager (Technical) to identify, shape, and drive AI‑enabled capabilities across the enterprise. You will partner with business units, Enterprise Architecture, IT teams, and cybersecurity to translate priorities into AI use cases, prototypes, and scalable platforms.

This hands‑on role requires prototyping, evaluation of Azure OpenAI, AWS Bedrock, and other platforms, plus governance considerations.

Qualifications

• Bachelor’s degree in Business, Information Systems, Engineering, Computer Science, or related field
• 8+ years of experience in product management, business architecture, digital transformation, technology delivery, or AI‑related initiatives
• Experience with Artificial Intelligence (AI), Generative AI, Machine Learning, analytics, intelligent automation, or cloud AI platforms
• Experience working cross‑functionally with business and technology organizations
• Strong understanding of enterprise business processes, operational transformation, and technology enablement
• Experience developing business cases, roadmaps, prioritization frameworks, and value realization metrics
• Hands‑on experience prototyping AI solutions, AI workflows, copilots, automation solutions, or low‑code/no‑code AI applications
• Exposure to prompt engineering, AI agents, Retrieval‑Augmented Generation (RAG), APIs, workflow orchestration, or AI integration concepts
• Strong communication, facilitation, stakeholder management, and executive presentation skills
• Ability to participate in technical discussions related to AI architecture, integrations, cloud platforms, APIs, and enterprise solution design
• Compliance with the Department of Energy’s regulation 10 CFR 810 is required
• MBA
• Familiarity with Azure OpenAI, AWS Bedrock, ServiceNow AI, SAP AI, Salesforce AI, or similar enterprise AI platforms
• Familiarity with Python, scripting, REST APIs, or cloud‑native AI development concepts
• Experience within regulated industries such as utilities, energy, financial services, or healthcare
• Experience with Agile product management and iterative delivery methodologies
• Understanding of AI governance, cybersecurity, risk management, and regulatory considerations

Responsibilities

• Enterprise AI Opportunity Discovery & Strategy: Partner with business leaders to identify and evaluate AI opportunities across operational, customer, and corporate domains
• AI Prototyping, Technical Evaluation & Solution Design: Develop lightweight prototypes and proof‑of‑concept (POC) solutions to validate AI use cases, business value, and technical feasibility
• Business Architecture & Capability Alignment: Evaluate business processes and target‑state operating models to identify opportunities for AI‑driven transformation
• AI Product & Portfolio Management: Manage AI use cases from ideation through implementation and value realization
• Cross‑Functional Collaboration & Delivery Support: Partner with AI engineering, platform, and IT delivery teams to define solution requirements
• Responsible AI & Governance Alignment: Ensure AI initiatives align with enterprise AI governance, cybersecurity, compliance, privacy, and responsible AI standards

Skills

AI

Product management

Business architecture

Digital transformation

Cross-functional collaboration

Cloud AI platforms

Communication

Prototyping

Governance

Education

Bachelor’s degree in Business, Information Systems, Engineering, Computer Science, or related field

Tools

Azure OpenAI

AWS Bedrock

ServiceNow

SAP AI

Salesforce AI

Python

REST APIs

Job description

PSEG is seeking an AI Business Product Manager (Technical) to identify, shape, and drive AI‑enabled capabilities across the enterprise. You will partner with business units, Enterprise Architecture, IT teams, and cybersecurity to translate priorities into AI use cases, prototypes, and scalable platforms.

This hands‑on role requires prototyping, evaluation of Azure OpenAI, AWS Bedrock, and other platforms, plus governance considerations.