Business Systems Analyst Remote Information Technology

What You'll Do

Role Summary

As Avalara scales its AI-first enterprise systems, workflows, and automation footprint, we must improve the clarity, structure, and quality of requirements that drive AI automation and business transformation across the organization. This role exists to translate complex business workflows into well-defined, implementation-ready requirements for AI-enabled automation, agentic workflows, and transformation initiatives that improve solution quality, shorten delivery cycles, and accelerate measurable business value.

This BSA will operate at the intersection of business process design, AI automation strategy, and technical execution, working closely with AI Automation Engineers in an environment centered on n8n, Boomi, APIs, event-driven systems, and AI-enabled orchestration to ensure initiatives are scalable, governed, measurable, and aligned to business outcomes.

How This Role Elevates Avalara

This role strengthens Avalara's automation and transformation ecosystem by improving requirement quality, delivery predictability, and AI automation clarity.

This Business Systems Analyst - AI Automation ,will:

• 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 byidentifyinghigh-value transformation and agentic automation opportunities across business workflows

Bar Raiser Expectations

As a Bar Raiser, this role is expected to elevate automation maturity across the organization by:

• Holding high standards for clarity, documentation quality, traceability, and business process rigor
• Using structured analysis and data to reduce ambiguity, automation failure points, and downstream rework
• Challenging unclear requirements early to protect delivery timelines and automation quality
• Sharing best practices and improving requirement documentation standards for AI automation and transformation initiatives
• Leaving processes, playbooks, and requirement frameworks stronger and more scalable than they were before

Requirements Discovery & Process Analysis

• Partner with stakeholders and AI Automation Engineers to gather, analyze, and document AI automation requirements that reduce ambiguity and downstream rework
• Mapanddocumentcurrent-state and future-state processes,identifying transformation opportunitieswhereAI, 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 manageJIRA tickets with detailed requirement descriptions, acceptance criteria, dependencies, and traceability to ensure smooth development, tracking, and delivery of AI automation initiatives

AI Integration
-Focused Solution Definition

• 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 tovalidatefeasibility, governance, and solution design before build begins

Data & Interface Analysis

• 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
• SupportA2A,MCP,API contract reviews and ensure traceability between business objectives, workflow behavior, and technical implementation

Delivery Enablement & Collaboration

• Participate in backlog grooming and sprint planning tomaintainrequirement clarity for AI automation and transformation initiatives
• Support testing and UAT validation to ensure AI-enabled workflows behave as intended across normal,…