AI-Driven Business Systems Analyst

Avalara, Inc.

Northern (KY)

On-site

USD 100,000 - 160,000

Full time

14 days+
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Benefits offered by this job

Private medical, life, and disability
Paid time off & bonuses
Employee wellness benefits

Job summary

Avalara, Inc. seeks a Business Systems Analyst – AI Automation to translate complex business workflows into implementation-ready AI automation requirements.

You’ll work with AI Automation Engineers in an environment centered on n8n, Boomi, APIs, and event-driven systems to ensure scalable, governed automation aligned to business outcomes. The role emphasizes structured analysis, precise documentation, and collaboration with architects to validate feasibility and governance before build.

Qualifications

  • 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.
  • Excellent communication skills across business and technical audiences.

Responsibilities

  • 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
  • Within the first 12 months, this role will have:
  • Reduced automation rework and requirement-related defects
  • Improved implementation readiness of AI automation stories, business rules, and acceptance criteria
  • Established standardized documentation templates adopted across AI automation and transformation initiatives
  • Increased automation throughput by reducing requirement ambiguity and improving stakeholder alignment
  • Improved traceability between business objectives and delivered AI automation outcomes

Skills

Analytical thinking
Structured problem-solving
Excellent communication
Cross-functional collaboration
Requirement documentation

Education

B.S. in Computer Science or Engineering (required)

Tools

n8n
Boomi
APIs

Job description

Avalara, Inc. seeks a Business Systems Analyst – AI Automation to translate complex business workflows into implementation-ready AI automation requirements.

You’ll work with AI Automation Engineers in an environment centered on n8n, Boomi, APIs, and event-driven systems to ensure scalable, governed automation aligned to business outcomes. The role emphasizes structured analysis, precise documentation, and collaboration with architects to validate feasibility and governance before build.

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