AI Business Systems Analyst

Independently analyzes complex business and operational problems where solutions are not readily apparent, requiring evaluation of multiple business options, process trade-offs, and operational constraints. Translates complex global support requirements into clearly defined functional specifications and business configurations. Accountable for the end-to-end alignment of business processes to enterprise systems, including requirement scoping, mapping, testing, configuration verification, and post-implementation functional support.

Brings hands-on proficiency in the practical application and integration of AI tools, leveraging power user prompt engineering, notification wrappers, and existing vendor algorithms to introduce operational efficiencies and inject smart workflow automation into document summarization and support routing.

Applies seasoned professional judgment and broad analytical systems knowledge to enforce standard software architecture, focusing on core CRM and CMDB platforms to prioritize vanilla application configurations over heavy custom development and code modifications. Proactively identifies opportunities to improve system performance, reliability, and efficiency through targeted configuration enhancements and out-of-the-box automation, particularly within evolving and changing infrastructure. Operates with minimal supervision, following established architectural standards and policies, while determining appropriate methods and techniques to achieve desired business outcomes.

Given that QAD s Support organization operates in a 24 7 global environment, this role requires flexibility in scheduling. The position is primarily aligned to early AMS core business hours, with regular overlap required to support APAC and EMEA teams. Occasional adjustments to work hours may be necessary to support critical incidents, releases, or time-sensitive initiatives. This flexibility is essential to ensuring continuity of service and effective support for QAD s global customer base.

1. Adapt functional configurations and system alignments to newer software versions by executing, testing, and implementing appropriate out-of-the-box platform parameters..

2. Assess and analyze business process needs; work on complex issues where analysis of situations or data requires in-depth evaluation of variable factors. Exercises judgment in selecting methods, analytical techniques, practical AI automation capabilities, and evaluation criteria for obtaining results. Contribute to the team through implementation efforts, including requirements gathering, data tool mapping, build testing, documentation, and user acceptance go-live activities.

3. Work closely with Support and Cloud to recommend business process changes, based on knowledge of QAD and industry best practices, by researching and identifying appropriate solutions to business requirements. Serving as a liaison between the business unit, department, and IT in translating complex business needs into application software requirements.

4. Provide ongoing system maintenance of multiple Support systems, core CRM databases, and related CMDB instances - ensuring maximum reliability, uptime, and responsiveness to customer service requests. Oversee application governance and distribute release notes and documentation to users, stakeholders, and other interested parties.

5. Other duties as assigned Qualifications

Education: Graduate degree, or Baccalaureate s degree in engineering or computer science, or related technology degree. Relevant technology or industry certifications.

Experience: 5+ years in software development (DevOps) processes, including AI integration, 2+ years in supporting and developing Customer Relationship Management (CRM) systems, IT Service Management (ITSM) systems, including 2+ years of a Configuration Management Database (CMDB) and its relationship to asset management is required.

Computer skills: Strong development skills with multiple programming languages and platforms, with emphasis on web-based technologies (APIs, Java, JavaScript, GroovyScript, object oriented skills, web services, event listeners). Experience with Atlassian ecosystem: Jira Data Center, Jira Service Management, Confluence, and Scriptrunner. Experience with CRM Systems: Zendesk, Salesforce, Freshworks. Experience with AI technologies: Co-Pilot, Gemini, Claude, Player Zero, Einstein.

Other knowledge: Experience interpreting user needs and writing or editing functional specifications for new systems, systems changes or system enhancements. Strong problem solving capability is a must. Capable of creating and presenting complex ideas and technical solutions as well as challenging solutions and recommending alternative options. Comfortable leading small teams and workgroups is a plus.