Business Analyst, Senior

Infor; Atlanta (GA); On-site; USD 90,000 - 130,000; Full time

Job summary

Infor is seeking a Senior Business Analyst to join the SyteLine product development team in Atlanta. You will translate customer and product needs into clear requirements for engineering, focusing on ERP capabilities and AI-enabled initiatives.

You will collaborate with Product Management, Architecture, Engineering, UX, QA, and Development throughout the product lifecycle, driving business value and ensuring quality in cloud and SaaS contexts.

Qualifications

• Experience in enterprise software product development.
• Proficient in analyzing complex business processes and writing functional specs.
• Experience with ERP, manufacturing, supply chain, or finance applications.
• Knowledge of Agile SDLC, APIs, integrations, data flows, cloud-based SaaS.
• Excellent collaboration and stakeholder-management skills.

Responsibilities

• Gather, analyze, and maintain ERP requirements for SyteLine.
• Translate manufacturing processes into product requirements and stories.
• Lead requirements workshops and backlog refinement.
• Assess changes across processes, integrations, data, and configurations.
• Define requirements for cloud, AI, and enterprise knowledge capabilities.
• Support implementation by clarifying dependencies and mentoring analysts.

Job description

Business Analyst, Senior

Department: Development

Employment Type: Full Time

Location: Atlanta

Description

The Senior Business Analyst will join the Infor SyteLine Product Development team. SyteLine is an ERP solution for industrial manufacturing.

This role translates customer, business, and product needs into requirements for engineering teams. The position supports ERP capabilities and initiatives involving AI and GenAI, intelligent agents, Model Context Protocol (MCP), enterprise knowledge integration, workflow automation, APIs, integrations, and cloud modernization.

The Senior Business Analyst collaborates with Product Management, Architecture, Engineering, UX, QA, and Development throughout the product lifecycle.

A Typical Day in the Life Includes:

• Gather, analyze, document, and maintain business, functional, and non-functional requirements for SyteLine ERP capabilities.
• Translate ERP and manufacturing processes into product requirements, workflows, use cases, user stories, business rules, and acceptance criteria.
• Facilitate requirements workshops, backlog refinement, solution-design discussions, and cross-functional reviews.
• Assess proposed changes across business processes, functionality, integrations, APIs, data, architecture, and customer configurations.
• Define requirements and validation scenarios for cloud, SaaS, extensibility, workflow automation, AI, GenAI, intelligent agents, MCP, and enterprise knowledge capabilities.
• Support implementation and release activities by clarifying requirements, documenting dependencies and risks, assisting QA, and mentoring Business Analysts on requirements practices.

Basic Qualifications:

• Experience in business analysis, product analysis, or a related role within enterprise software product development.
• Experience analyzing complex business processes and producing functional specifications, workflows, user stories, business rules, acceptance criteria, and traceability documentation.
• Experience with ERP, manufacturing, supply chain, finance, or other complex enterprise applications.
• Knowledge of Agile methods, the software development lifecycle, APIs, integrations, data flows, cloud-based SaaS applications, and enterprise application architecture.
• Experience collaborating with Product Management, Architecture, Engineering, UX, and QA, with demonstrated facilitation, communication, problem-solving, and stakeholder-management skills.

Preferred Qualifications:

• Knowledge of manufacturing ERP processes and enterprise business domains.
• Experience defining requirements for REST APIs, event-driven integrations, messaging, enterprise services, workflow technologies, and third-party integrations.
• Experience with AI-enabled enterprise applications, LLMs, intelligent agents, agentic workflows, Retrieval-Augmented Generation, enterprise knowledge integration, or MCP.
• Knowledge of security, authorization, privacy, governance, human-in-the-loop controls, and data-access considerations for enterprise or AI-enabled applications.
• Experience with cloud-safe extensibility, metadata-driven customization, low-code/no-code platforms, AWS, or cloud-native SaaS environments.
• Experience using Jira and Confluence for requirements, backlog, and product-lifecycle management.