12087 AI Business Product Specialist

PSEG•Newark, NJ

2d•$107,600 - $170,300•Hybrid

About The Position

The AI Business Product Specialist (described in the job summary as an AI Business Product Manager (Technical)) identifies, shapes, prioritizes, prototypes, and advances AI-enabled business capabilities that deliver measurable enterprise value. The role combines business architecture, product management, AI technology evaluation, and hands-on technical experimentation, connecting business operations, enterprise architecture, and AI delivery teams. It translates enterprise priorities and operational challenges into scalable AI opportunities aligned with organizational strategy, governance standards, and technology capabilities. The position works with business units, Enterprise Architecture, IT delivery teams, cybersecurity, data governance, and the AI Center of Excellence to support responsible, value-driven AI adoption. It includes rapid experimentation, proof-of-concept development, platform evaluation, and technical feasibility assessments across emerging AI technologies and enterprise platforms. The role manages AI opportunities from discovery through implementation and value realization; evaluates and prototypes candidate solutions; supports AI roadmaps, intake, and portfolio prioritization; and helps ensure initiatives meet enterprise architecture, security, privacy, compliance, and responsible AI expectations. The work environment is hybrid, with at least three onsite days per week. PSEG does not offer visa sponsorship for this position. Compliance with Department of Energy regulation 10 CFR 810 is required.

Requirements

Bachelor’s degree in Business, Information Systems, Engineering, Computer Science, or a related field.
At least 8 years of experience in product management, business architecture, digital transformation, technology delivery, or AI-related initiatives.
Experience with Artificial Intelligence, 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 involving AI architecture, integrations, cloud platforms, APIs, and enterprise solution design.
Compliance with the Department of Energy’s regulation 10 CFR 810 is required.

Nice To Haves

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 in a regulated industry 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

Partner with business leaders to identify and assess AI opportunities across operational, customer, and corporate domains.
Analyze business capabilities, workflows, pain points, and value streams to identify AI opportunities and translate challenges into defined 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.
Build lightweight prototypes and proof-of-concept solutions to validate use cases, business value, and technical feasibility.
Experiment hands-on 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 platforms.
Participate in AI solution architecture discussions covering integration, scalability, security, and operational readiness; assess approaches for business value, feasibility, governance, and operational fit.
Collaborate with AI engineering and platform teams to transition validated prototypes into scalable enterprise solutions.
Evaluate business processes and target-state operating models for AI-driven transformation, and assess alignment with business objectives, enterprise architecture standards, and AI technology capabilities.
Work with Enterprise Architecture and platform teams to align AI initiatives with enterprise technology strategy and identify native AI capabilities in enterprise platforms and third-party applications.
Manage AI use cases from ideation through implementation and value realization; develop business cases, value hypotheses, success metrics, and KPI frameworks.
Support AI intake, prioritization, and portfolio management; assess opportunities for value, feasibility, risk, operational impact, and strategic alignment.
Maintain the AI initiative backlog and prioritization artifacts; track adoption, business outcomes, operational improvements, and ROI metrics.
Partner with AI engineering, platform, and IT delivery teams to define solution requirements and implementation approaches.
Coordinate with cybersecurity, legal, compliance, governance stakeholders, and enterprise platform owners through intake, approval, and AI feature evaluation processes.
Support stakeholder alignment, business readiness, and organizational change during AI implementation.
Ensure AI initiatives align with enterprise AI governance, cybersecurity, compliance, privacy, and responsible AI standards.
During emergency restoration efforts, perform functions outside routine duties and work a schedule that may differ from normal operations, if required.