Business Systems Analyst - AI Automation

What You'll Do

• 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

Bar Raiser Expectations

• Hold high standards for clarity, documentation quality, traceability, and business process rigor
• Use structured analysis and data to reduce ambiguity, automation failure points, and downstream rework
• Challenge unclear requirements early to protect delivery timelines and automation quality
• Share best practices and improve requirement documentation standards for AI automation and transformation initiatives
• Leave processes, playbooks, and requirement frameworks stronger and more scalable than they were before

What Your Responsibilities Will Be

• Requirements Discovery & Process Analysis
• Partner with stakeholders and AI Automation Engineers to gather, analyze, and document AI automation requirements
• Map and document current-state and future-state processes, identifying transformation opportunities
• Create detailed user stories, business rules, and acceptance criteria that are implementation-ready
• Collaborate with architects and AI Automation Engineers to validate feasibility, governance, and solution design
• Data & Interface Analysis
• Analyze data flows across systems and document transformation, validation, and context requirements
• Define field-level mappings, prompt and input requirements, exception scenarios, auditability needs, and reconciliation rules
• Support A2A, MCP, API contract reviews and ensure traceability
• Delivery Enablement & Collaboration
• Participate in backlog grooming and sprint planning
• Support testing and UAT validation
• Facilitate alignment between stakeholders, AI Automation Engineers, architects, and delivery teams
• Governance & Continuous Improvement
• Standardize requirement templates and documentation practices
• 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

Pay Range Details

• Colorado: $126,000-$201,600 (annually)
• Washington: $126,000-$222,800 (annually)
• California: $126,000-$244,000 (annually)
• NYC: $139,200-$244,000 (annually)