Business Systems Analyst - AI Automation

Avalara is an AI-first company focused on improving tax compliance through innovative technology. The Business Systems Analyst - AI Automation role involves translating complex business workflows into clear requirements for AI automation, enhancing operational outcomes and ensuring alignment with business goals.

Responsibilities:

• Reduce rework and cycle time by translating business needs into structured, implementation-ready AI automation requirements
• Improve delivery predictability by defining clear workflow boundaries, system interactions, human-in-the-loop controls, and acceptance criteria
• Enhance employee and operational outcomes by ensuring AI automations are designed with governance, traceability, scalability, and measurable impact in mind
• Advance Avalara’s AI-first execution by identifying high-value transformation and agentic automation opportunities across business workflows
• Partner with stakeholders and AI Automation Engineers to gather, analyze, and document AI automation requirements that reduce ambiguity and downstream rework
• Map and document current-state and future-state processes, identifying transformation opportunities where AI, agents, or workflow automation can improve speed, quality, or scale
• Break down complex workflows into structured, implementable use cases, including decision points, exceptions, approvals, and human-in-the-loop steps
• Identify risks, edge cases, control requirements, and system dependencies before automation development begins
• Create and manage JIRA tickets with detailed requirement descriptions, acceptance criteria, dependencies, and traceability to ensure smooth development, tracking, and delivery of AI automation initiatives
• Translate business needs into clear functional and technical requirements for AI-enabled workflows, agents, and transformation solutions
• Define system interactions, API touchpoints, event triggers, workflow boundaries, and handoffs between deterministic automation and AI decisioning
• Create detailed user stories, business rules, and acceptance criteria that are implementation-ready for AI Automation Engineers
• Collaborate with architects and AI Automation Engineers to validate feasibility, governance, and solution design before build begins
• Analyze data flows across systems and document transformation, validation, and context requirements needed for AI automation outcomes
• Define field-level mappings, prompt and input requirements, exception scenarios, auditability needs, and reconciliation rules to protect data integrity and trust
• Support A2A, MCP, API contract reviews and ensure traceability between business objectives, workflow behavior, and technical implementation
• Participate in backlog grooming and sprint planning to maintain requirement clarity for AI automation and transformation initiatives
• Support testing and UAT validation to ensure AI-enabled workflows behave as intended across normal, exception, and human-review scenarios
• Facilitate alignment between stakeholders, AI Automation Engineers, architects, and delivery teams
• Maintain structured documentation to support auditability, governance, adoption, and long-term maintainability
• Standardize requirement templates and documentation practices for AI automation, agents, and transformation initiatives
• Support change management for workflow, model, prompt, and automation enhancements
• Improve requirement quality and automation maturity across the organization
• Drive clarity that accelerates responsible AI adoption and improves overall delivery predictability

Requirements:

• B.S. in Computer Science or Engineering (required)
• 5+ years of experience as a Business Systems Analyst or Techno-Functional Analyst
• Experience working with AI automation, enterprise workflows, system integrations, APIs, n8n, Boomi, or automation platforms
• Strong understanding of Agentic AI, REST APIs, webhooks, JSON, data mapping concepts, and workflow orchestration patterns
• Experience documenting requirements for automation, AI-enabled workflows, system interactions, and business process transformations
• Ability to interpret technical design documents and collaborate effectively with AI Automation Engineers, architects, and cross-functional stakeholders
• Strong analytical and structured problem-solving skills
• Excellent communication skills across business and technical audiences