AI / Intelligent Automation Business Analyst
Location: Charlotte, NC — Hybrid, 3 days onsite/week
Duration: 6-month contract with potential extension
Pay Rate: Up to $62/hr
Interview: 30-minute Microsoft Teams interview
We are seeking an experienced AI / Intelligent Automation Business Analyst to support the delivery of automation and AI solutions across complex business processes.
The ideal candidate will serve as a bridge between business stakeholders and technology/engineering teams, translating business needs into clear technical requirements and supporting the development, testing, and implementation of intelligent automation solutions.
Key Responsibilities
- Partner with business stakeholders and technology teams to identify and define automation opportunities.
- Analyze complex business processes and translate requirements into clear user stories and acceptance criteria.
- Create, manage, and groom the product backlog for automation initiatives.
- Support the design and implementation of Intelligent Automation, Generative AI, and Agentic AI solutions.
- Collaborate with engineering teams developing AI and multi-agent workflows.
- Support automation testing and facilitate User Acceptance Testing (UAT).
- Conduct product demonstrations and coordinate product acceptance.
- Identify risks, bottlenecks, dependencies, and potential impacts and communicate them to stakeholders.
- Ensure solutions align with enterprise software development, security, compliance, and SDLC requirements.
- Analyze business problems and develop innovative technology-enabled solutions.
- Work closely with developers to clarify requirements and ensure solutions meet business needs.
- Support Agile delivery practices and strategic automation initiatives.
Required Qualifications
- 5+ years of experience in Business Analysis, Business Execution, Intelligent Automation, Product Management, or Technology Consulting.
- Experience gathering and translating business requirements into technical requirements and user stories.
- Experience with Agile methodologies and backlog management.
- Experience supporting automation projects, including testing and UAT.
- Strong understanding of Generative AI, Agentic AI, AI agents, or multi-agent systems.
- Experience collaborating with engineering/development teams on AI or automation solutions.
- Strong analytical, problem-solving, and stakeholder management skills.
- Excellent written and verbal communication skills.
Preferred Experience
- LangChain / LangGraph
- Microsoft Copilot Studio
- Google Agent/AI platforms
- Generative AI platforms such as OpenAI or Azure OpenAI
- AI/ML solutions within regulated or enterprise environments
- Intelligent Automation / RPA
- AI orchestration and multi-agent workflows
- Enterprise software development and SDLC
- Experience working with financial services or other highly regulated environments