Business Systems Analyst - AI Automation

Business Systems Analyst - AI AutomationAs 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.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 requirementsImprove delivery predictability by defining clear workflow boundaries, system interactions, human-in-the-loop controls, and acceptance criteriaEnhance employee and operational outcomes by ensuring AI automations are designed with governance, traceability, scalability, and measurable impact in mindAdvance Avalara's AI-first execution by identifying high-value transformation and agentic automation opportunities across business workflowsAs 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 rigorUsing structured analysis and data to reduce ambiguity, automation failure points, and downstream reworkChallenging unclear requirements early to protect delivery timelines and automation qualitySharing best practices and improving requirement documentation standards for AI automation and transformation initiativesLeaving processes, playbooks, and requirement frameworks stronger and more scalable than they were beforeWhat Your Responsibilities Will BeRequirements Discovery & Process AnalysisPartner with stakeholders and AI Automation Engineers to gather, analyze, and document AI automation requirements that reduce ambiguity and downstream reworkMap and document current-state and future-state processes, identifying transformation opportunities where AI, agents, or workflow automation can improve speed, quality, or scaleBreak down complex workflows into structured, implementable use cases, including decision points, exceptions, approvals, and human-in-the-loop stepsIdentify risks, edge cases, control requirements, and system dependencies before automation development beginsCreate and manage JIRA tickets with detailed requirement descriptions, acceptance criteria, dependencies, and traceability to ensure smooth development, tracking, and delivery of AI automation initiativesAI Integration-Focused Solution DefinitionTranslate business needs into clear functional and technical requirements for AI-enabled workflows, agents, and transformation solutionsDefine system interactions, API touchpoints, event triggers, workflow boundaries, and handoffs between deterministic automation and AI decisioningCreate detailed user stories, business rules, and acceptance criteria that are implementation-ready for AI Automation EngineersCollaborate with architects and AI Automation Engineers to validate feasibility, governance, and solution design before build beginsData & Interface AnalysisAnalyze data flows across systems and document transformation, validation, and context requirements needed for AI automation outcomesDefine field-level mappings, prompt and input requirements, exception scenarios, auditability needs, and reconciliation rules to protect data integrity and trustSupport A2A, MCP, API contract reviews and ensure traceability between business objectives, workflow behavior, and technical implementationDelivery Enablement & CollaborationParticipate in backlog grooming and sprint planning to maintain requirement clarity for AI automation and transformation initiativesSupport testing and UAT validation to ensure AI-enabled workflows behave as intended across normal, exception, and human-review scenariosFacilitate alignment between stakeholders, AI Automation Engineers, architects, and delivery teamsMaintain structured documentation to support auditability, governance, adoption, and long-term maintainabilityGovernance & Continuous ImprovementStandardize requirement templates and documentation practices for AI automation, agents, and transformation initiativesSupport change management for workflow, model, prompt, and automation enhancementsImprove requirement quality and automation maturity across the organizationDrive clarity that accelerates responsible AI adoption and improves overall delivery predictabilityWithin the first 12 months, this role will have:Reduced automation rework and requirement-related defectsImproved implementation readiness of AI automation stories, business rules, and acceptance criteriaEstablished standardized documentation templates adopted across AI automation and transformation initiativesIncreased automation throughput by reducing requirement ambiguity and improving stakeholder alignmentImproved traceability between business objectives and delivered AI automation outcomesWhat You'll Need To Be SuccessfulAs an AI-first company, Avalara expects this role to embed AI into requirements analysis, process transformation, and automation strategy.This role will:Identify AI and automation opportunities within business workflows that improve efficiency, decision quality, and scalabilityUse AI tools to accelerate documentation drafting, process analysis, impact assessment, and requirement validationEnsure AI-enabled workflows, agents, and human-in-the-loop controls are documented with clear governance and traceabilityPartner with AI Automation Engineers and architects to define measurable AI-driven outcomes, evaluation criteria, and business impactApply AI responsibly with attention to data privacy, security, compliance, and operational riskDemonstrating applied AI impact, not just tool familiarity is required.What You BringB.S. in Computer Science or Engineering (required)5+ years of experience as a Business Systems Analyst or Techno-Functional AnalystExperience working with AI automation, enterprise workflows, system integrations, APIs, n8n, Boomi, or automation platformsStrong understanding of Agentic AI, REST APIs, webhooks, JSON, data mapping concepts, and workflow orchestration patternsExperience documenting requirements for automation, AI-enabled workflows, system interactions, and business process transformationsAbility to interpret technical design documents and collaborate effectively with AI Automation Engineers, architects, and cross-functional stakeholdersStrong analytical and structured problem-solving skillsExcellent communication skills across business and technical audiencesPay Range DetailsThe base pay range(s) below are provided in compliance with state specific laws. Pay ranges may be different in other locations.Colorado $126,000-$201,600 (annually)Washington $126,000-$222,800 (annually)California $126,000-$244,000 (annually)NYC $139,200-$244,000(annually)The pay range above is the general base pay range for a successful candidate in the state listed. The successful candidate's actual salary/wage may be based on various factors, such as geographic location, candidate experience and qualifications, as well as market and business considerations. This role is eligible for an annual bonus based on individual and company performance, depending on the terms of the applicable plan and the employee's role.Avalara is an AI-first CompanyAI is embedded in our workflows, decision-making, and products. Success here requires embracing AI as an essential capability.You'll bring experience using AI and AI-related technologies, ready to thrive here.You'll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving