12086 AI Business Product Mgr

Date: Jul 8, 2026

Location: Newark, NJ, US, 07101

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Company: PSEG

Requisition: 83930

PSEG Company: PSEG Services Corp.

Salary Range: $ 121,200 - $ 199,200

Work Location Category: Hybrid Flexible

We’re one of the country’s largest energy companies, with a vision of powering a future where people use energy more efficiently and it’s safer and delivered more reliably than ever. We’re also deeply connected to the communities we serve, with more than 13,000 employees working together to support our customers and make a difference every day.

Here, you’ll have the stability and exciting opportunities that come with being a Fortune 500 company — along with a supportive, friendly work environment where your contributions are valued.

We know life isn’t one-size-fits-all, and neither is work. That’s why we offer flexible work options depending on the role.

In support of this model, roles have been categorized into one of three work location categories:

1. Onsite – roles where employees are expected to be onsite daily.

2. Hybrid fixed – roles that are a mix of remote work and onsite work fixed days each week

3. Hybrid flexible – roles that are a mix of remote work and onsite work, but the onsite requirements have greater flexibility. (i.e. 5-8 days a month vs. set days each week).

As an employee, if you are regularly scheduled to work 20 or more hours per week, you will have access to a wide range of comprehensive benefits from day one, designed to support your total well-being: medical, dental, vision, parental leave and family leave programs, behavioral health programs, 401(k) with company match, life insurance, tuition reimbursement, and generous paid time off.

More than 13,000 people already call PSEG their work home, taking pride in providing safe, reliable service to millions of customers. If you’re looking for a place where you can build a meaningful career and help power and support our communities, we’d love to welcome you to the team.

PSEG is not offering visa sponsorship for this position.

Job Summary

At this time, only current PSEG employees are being considered.

The AI Business Product Manager (Technical) is responsible for identifying, shaping, prioritizing, prototyping, and driving AI-enabled business capabilities that deliver measurable enterprise value.

This role combines business architecture, product management, AI technology evaluation, and hands-on technical experimentation responsibilities to bridge business operations, enterprise architecture, and AI delivery teams. The position plays a key role in translating enterprise priorities and operational challenges into scalable AI opportunities aligned with organizational strategy, governance standards, and technology capabilities.

This role partners closely with business units, Enterprise Architecture, IT delivery teams, cybersecurity, data governance, and the AI Center of Excellence (AI CoE) to support responsible and value-driven AI adoption across the enterprise.

This role is technically hands-on, supporting rapid experimentation, proof-of-concept (POC) development, platform evaluation, and technical feasibility assessments across emerging AI technologies and enterprise platforms.

At this time, only current PSEG employees are being considered.

Job Responsibilities

Enterprise AI Opportunity Discovery & Strategy: Partner with business leaders to identify and evaluate AI opportunities across operational, customer, and corporate domains. Analyze business capabilities, workflows, pain points, and value streams to identify AI enablement opportunities. Translate business challenges into well-defined AI use cases and product opportunities. Support development and execution of the enterprise AI roadmap and portfolio strategy. Conduct discovery workshops and facilitate AI ideation sessions with business stakeholders.

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. Perform hands-on experimentation with AI agents, copilots, Generative AI workflows, automation capabilities, and emerging AI technologies. Evaluate and compare enterprise AI technologies and platforms including Azure OpenAI, AWS Bedr…