AI Product Owner & GenAI Business Analyst (Hybrid)

MassGenics, Inc.; Charlotte (NC); Hybrid; USD 83,000 - 90,000; Full time

Job summary

Innova Solutions is seeking an AI Product Owner / Senior Business Analyst to bridge business needs and technology for GenAI, Intelligent Automation and Agentic AI in a regulated enterprise. Location: Charlotte, NC, 3 days onsite / 2 days remote. Contract (W2) for 6 months with potential extension.

You will translate requirements into user stories, maintain product backlogs, run workshops, support testing, and ensure SDLC compliance while partnering with engineering to deploy AI workflows.

Qualifications

• 8+ years in PO/BA/PM in enterprise environments.
• Experience gathering requirements and managing Agile backlogs.
• Knowledge of GenAI, Agentic AI, LLMs, and Intelligent Automation.
• Experience with AI platforms and tools listed.

Responsibilities

• Partner with business and technology teams to deliver AI solutions.
• Translate business needs into user stories and acceptance criteria.
• Create and groom product backlogs for Agile teams.
• Facilitate requirements workshops with stakeholders.
• Drive automation initiatives from ideation to deployment.
• Support testing activities including UAT and system tests.
• Ensure SDLC compliance and regulatory requirements.
• Collaborate with engineers to design AI workflows.
• Provide product demos and secure business sign-off.
• Influence strategic decisions using design thinking and analytics.

Skills

Agile backlog mgmt

Stakeholder mgmt

Requirements gathering

GenAI knowledge

Tools

LangChain

LangGraph

Copilot Studio

Azure OpenAI

OpenAI

Google Agent Space

Job description

Innova Solutions is seeking an AI Product Owner / Senior Business Analyst to bridge business needs and technology for GenAI, Intelligent Automation and Agentic AI in a regulated enterprise. Location: Charlotte, NC, 3 days onsite / 2 days remote. Contract (W2) for 6 months with potential extension.

You will translate requirements into user stories, maintain product backlogs, run workshops, support testing, and ensure SDLC compliance while partnering with engineering to deploy AI workflows.