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Assurity

Business Systems Analyst III

Assurity

. Own the relationship between a business area and engineers, and the value and adoption of a portfolio of AI and automation solutions .

Posted 11/7/2026full-timeUnited StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing AI and automation solutions, including leading cross-system initiatives, writing implementable specifications, and conducting end-user training. Proficient in Agile methodologies and skilled in stakeholder communication, project management, and analytical problem-solving.

Highest-signal resume keywords
AI Agent DirectionAgile DevelopmentRESTful API TestingSpecification WritingStakeholder Communication

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Business AnalysisSQLJSONTest Suite CreationDecision LogicData DefinitionsAutomated TestingProcess Change AnalysisUAT LeadershipAutomation Identification
Soft Skills
Analytical SkillsDecision-MakingOrganizational SkillsFacilitation SkillsCommunication Skills
Tools & Technologies
PostmanSwaggerBrowserStackPlaywrightLucidN8nAzure DevOpsJiraGitGitHub
Industry Keywords
InsuranceFinancial ServicesAI CapabilitiesHuman-in-the-Loop ReviewAutomation Solutions

Tech Stack

Tools & technologies
AzurePythonSQLTypeScript

About the role

Key responsibilities & impact
  • Own the relationship between a business area and engineers, and the value and adoption of a portfolio of AI and automation solutions
  • Own outcomes, priorities, intake, backlog, and business relationships for an assigned business area and several solutions
  • Lead large and multi-system initiatives, managing scope, cost, and schedule
  • Produce and maintain implementable, AI-ready specifications with decision logic, data definitions, exception handling, and human-in-the-loop review steps
  • Document requirements and propose system, AI, or automation solutions
  • Compare AI, conventional automation, and process change against quality, cost, risk, and user needs
  • Write acceptance criteria and confirm completed work directly with users
  • Build working proofs of concept independently with AI agents or n8n
  • Direct approved AI agents on requirements, decision tables, stories, data mappings, test plans, and validation queries
  • Identify automation and AI candidates and recommend them with success measures
  • Establish specifications, templates, and context practices that improve team work
  • Create and execute test plans, including automated regression tests
  • Test RESTful APIs, Windows services, and database integrations
  • Analyze outcomes, resolve differences, and review test results
  • Lead UAT for large and cross-system work
  • Carry solutions through development, test, stage, and production
  • Establish verification strategies and review practices
  • Lead small to mid-sized solution teams and maintain solution integrity
  • Assist and coach teammates and business users in the accelerated delivery loop and in directing and verifying agent work
  • Design and conduct end-user training plans
  • Estimate and log time daily, report project status, present demonstrations, and participate in meetings
  • Define success measures, monitor outcomes with engineers, and report results honestly
  • Serve as an escalation point for production issues and support systems, including on-call rotation
  • Incorporate industry developments, including AI capabilities, into future company systems
  • Maintain skills through ongoing training and study
  • Participate in an accelerated, remote-team delivery model from proof of concept through production

Requirements

What you’ll need
  • 4+ years of business analyst experience, including leading a cross-system initiative
  • Hands-on experience directing AI agents on substantial analysis, documentation, or test-creation work
  • Practical understanding of prompting, context, retrieval, tool use, evaluations, and AI failure modes
  • Ability to design human review and exception handling
  • Experience owning the relationship, intake, and backlog for a business area
  • Experience writing implementable specifications with decision logic, data definitions, exception handling, and human review steps
  • Experience coaching or mentoring analysts or other teammates
  • Experience with Agile development and project management, including Scrum
  • Experience with MS SQL databases, including SQL for data validation, and Mongo
  • Ability to read API contracts and JSON
  • Experience testing RESTful APIs, Windows services, and database integrations
  • Experience using Postman, Swagger, BrowserStack, Playwright, or other automated test scripting tools
  • Experience creating and maintaining test suites
  • Experience creating project charters, work summaries, and workflows in Lucid or a similar tool
  • Strong analytical, troubleshooting, planning, facilitation, stakeholder, decision-making, written and verbal communication, and organizational skills
  • Ability to manage multiple tasks within timeline and budget constraints
  • Business acumen
  • Ability to thrive in a fast-paced remote team environment
  • Ability to learn rapidly and master diverse technologies and techniques
  • Ability to learn a business domain quickly from its data, code, and users
  • Talent required in values, work intensity, achiever, positivity, resourcefulness, command, relationship-extension, and exactness
  • Preferred: Knowledge of Claude, Claude Code, Microsoft CoPilot, or similar agentic tools; n8n; Git and GitHub; Azure DevOps or Jira; ability to read C#, Python, or TypeScript
  • Preferred: Experience identifying automation and AI opportunities and defining success measures; decision tables and business rules; workflow and state-machine design; human-in-the-loop review design
  • Preferred: Insurance or financial services experience
  • Bachelor’s degree in a related field or equivalent experience
  • On-call rotation after training, including nights and weekends
  • Reliable attendance
  • Ability to respond promptly to production alerts within defined response times and escalation paths

Benefits

Comp & perks
  • Ample opportunities for growth
  • Thriving culture
  • Ongoing training and study, including AI fluency courses
  • Occasional scheduled evening or weekend work for production deploys, cutovers, data migrations, and go-lives, with advance notice