AI Business Product Specialist - Newark, NJ

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Location: Newark, NJ, US, 07101

Company: PSEG

PSEG Company: PSEG Services Corp.

Salary Range: $ 107,600 - $ 170,300

Work Location Category: Hybrid Flexible

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 Bedrock, SAP, ServiceNow, Salesforce, and other AI-enabled enterprise platforms. Participate in architectural discussions related to AI solution design, integration approaches, scalability, security, and operational readiness. Assess multiple technical approaches to determine best-fit solutions based on business value, feasibility, governance, scalability, and operational considerations. Collaborate with AI engineering and platform teams to transition validated prototypes into scalable enterprise solutions.
• Business Architecture & Capability Alignment: Evaluate business processes and target-state operating models to identify opportunities for AI-driven transformation. Assess alignment between business objectives, enterprise architecture standards, and AI technology capabilities. Collaborate with Enterprise Architecture and platform teams to align AI initiatives with enterprise technology strategy. Identify opportunities to leverage native AI capabilities within enterprise platforms and third-party applications.
• AI Product & Portfolio Management: Manage AI use cases from ideation through implementation and value realization. Develop business cases, value hypotheses, success metrics, and KPI frameworks for AI initiatives. Support AI intake, prioritization, and portfolio management processes. Evaluate AI opportunities based on business value, technical feasibility, risk, operational impact, and strategic…