Senior Data & GenAI Analyst - Agentic AI Focus

Synechron; Charlotte (NC); On-site; USD 100,000 - 110,000; Full time

Benefits offered by this job

Competitive compensation

Work abroad opportunities

Paid leave (including holidays)

Job summary

Synechron in Charlotte, NC seeks a hands-on Senior Business Analyst to support a high-visibility Data, GenAI, and Agentic AI program. You will connect business objectives with data, AI context, and implementation-ready specifications.

The role requires translating complex problems into epics and user stories, defining data requirements, and ensuring end-to-end traceability, with collaboration across engineering, AI teams and governance.

Qualifications

• Extensive experience as a Senior Business Analyst or equivalent.
• Strong requirements engineering and process analysis skills.
• Excellent communication and stakeholder management.
• Experience defining data requirements and governance.
• Agile delivery experience including Epics, Stories, and Jira.
• Working knowledge of GenAI, LLMs, and prompt engineering.

Responsibilities

• Translate business problems into epics, user stories, specs, and acceptance criteria.
• Define current and target state processes with simplification and automation.
• Lead discovery workshops and requirements elicitation.
• Maintain end-to-end traceability from objectives to implementation.
• Define data requirements and data sources, mappings, and quality.
• Partner with Data Engineering and AI teams throughout delivery.

Skills

Requirements engineering

Process analysis

Stakeholder management

Communication skills

Agile delivery

GenAI knowledge

Data understanding

Education

Bachelor's degree in a relevant field

Tools

Starburst

Collibra

Jira

LLM tooling

Job description

Synechron in Charlotte, NC seeks a hands-on Senior Business Analyst to support a high-visibility Data, GenAI, and Agentic AI program. You will connect business objectives with data, AI context, and implementation-ready specifications.

The role requires translating complex problems into epics and user stories, defining data requirements, and ensuring end-to-end traceability, with collaboration across engineering, AI teams and governance.