AI Business Analyst, Restaurant365

• 3+ years of experience in business process analysis, operations analysis, IT systems analysis, or automation delivery
• Demonstrated experience delivering workflow automations and/or integrations (iPaaS experience strongly preferred)
• Strong requirements gathering, documentation, and stakeholder management skills, with the ability to communicate across technical and non-technical audiences
• Working knowledge of APIs, SaaS systems, data flows, and integration concepts (auth, webhooks, JSON, error handling)
• Practical understanding of LLM/AI concepts (prompting, retrieval, grounding, guardrails, evaluation) and how they apply to business workflows
• High attention to detail, strong judgment, and an ownership mindset
• Demonstrated ability to lead cross-functional initiatives from discovery through launch with measurable outcomes
• Process thinking: ability to map workflows, identify bottlenecks, and design improvements
• Systems thinking: ability to understand end-to-end integrations and downstream impacts
• Customer orientation: strong empathy for end users and focus on measurable value
• Analytical rigor: ability to evaluate outcomes, monitor performance, and iterate
• Clear communication: concise documentation and structured updates to stakeholders
• Program ownership: ability to manage intake/backlog, set priorities, and drive outcomes across multiple stakeholders

Desirable

• Restaurant365 is seeking an AI Business Analyst to help design, build, operationalize, and scale AI-powered agents and automations that improve business processes across the organization. This role will partner with stakeholders in all Business Units to identify high-value use cases, translate operational needs into agent/automation requirements, and deliver solutions using Glean (agents/enterprise search experiences) and Workato (integrations, workflow automation, and orchestration)
• This role will also own key elements of governance, documentation, measurement, and continuous improvement to ensure solutions are secure, reliable, and adopted. The AI Business Analyst will help establish standards and repeatable delivery patterns and serve as a trusted advisor for AI-enabled process transformation
• Partner with Business Unit leaders and end users to understand workflows, pain points, and opportunities for AI agents and automation
• Lead discovery sessions to define success criteria, value hypotheses, functional requirements, and adoption plans
• Translate business needs into clear user stories, process maps, and solution designs
• Influence prioritization by developing business cases (value, effort, risk) and maintaining a pipeline of opportunities across Business Units
• Provide consultative guidance to stakeholders on where AI/automation is appropriate vs. where process or data remediation is required first
• Configure and implement AI agents in Glean, including intents, knowledge sources, guardrails, escalation paths, and user experiences
• Build, test, and maintain Workato recipes to automate business processes and orchestrate integrations across systems
• Develop reusable components (templates, standards, connectors, patterns) to accelerate delivery and ensure consistency
• Implement error handling, monitoring, logging, and alerting for reliability and operational support
• Own production readiness for delivered agents/automations (documentation, monitoring, failure modes, escalation, and support handoff)
• Review/advise on solution designs for other citizen-automation efforts where applicable to ensure alignment with standards
• Partner with system owners and content stewards to improve knowledge quality, data accessibility, and source-of-truth alignment for agent performance
• Support content curation and indexing strategies to improve retrieval quality and reduce hallucinations or incorrect actions
• Create user documentation, runbooks, and enablement materials to drive adoption and self-service where appropriate
• Develop and maintain playbooks for common patterns (intake, discovery, agent design, Workato standards, testing, launch)
• Support training and change adoption by coordinating rollout communications and measurement of adoption/containment
• Collaborate with IT & Infosec to implement role-based access, data handling standards, and secure-by-design practices for agents and automations
• Ensure solutions adhere to company policies for privacy, security, auditability, and change management
• Assist with risk reviews and participate in testing/validation of agent behaviors, including safe actions and escalation for sensitive tasks
• Help operationalize governance by enforcing build standards, documenting controls, and supporting audits/traceability for automated actions. - Partner on vendor and platform feature evaluation (Glean/Workato capabilities, new releases) and recommend improvements to the program
• Define and track KPIs such as time saved, cycle-time reduction, error-rate reduction, agent containment, and user satisfaction
• Analyze performance and usage data to recommend improvements and prioritize enhancements
• Maintain a backlog of opportunities and continuously identify additional high-impact use cases
• Own the automation/agent backlog health (intake, prioritization, delivery status, outcomes reporting) and provide regular stakeholder updates
• Drive iterative improvements by identifying root causes (process gaps, data quality, prompt/guardrail tuning, integration reliability)