Senior Business Systems Analyst

Assurity

. Own outcomes, priorities, intake, backlog, and business relationships for several business areas and solutions .

Posted 11/7/2026full-timeLincoln • Nebraska • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in leading complex business initiatives, producing AI-ready specifications, and managing cross-system projects. Proficient in mentoring teams, validating AI outputs, and establishing standards for analysis and testing.

Highest-signal resume keywords

Business Analyst ExperienceAI Agent DirectionAgile DevelopmentRESTful API TestingSpecification Writing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLJSONTest Suite CreationDecision LogicData DefinitionsException HandlingHuman Review StepsBusiness Requirements GenerationProof of Concept DevelopmentValidation Queries

Soft Skills

Analytical SkillsDecision-MakingOrganizational SkillsWritten CommunicationVerbal Communication

Tools & Technologies

PostmanSwaggerBrowserStackPlaywrightLucidN8nGitGitHubAzure DevOpsJira

Industry Keywords

InsuranceFinancial ServicesAI Failure ModesAutomation OpportunitiesHuman-in-the-Loop Review

Tech Stack

Tools & technologies

AzurePythonSQLTypeScript

About the role

Key responsibilities & impact

Own outcomes, priorities, intake, backlog, and business relationships for several business areas and solutions
Lead discovery, surface and size business needs, and settle scope and tradeoffs with sponsors
Lead the department’s largest and most complex initiatives across multiple business areas
Analyze technical difficulties, manage scope, cost, and schedule, and coordinate solution delivery across teams
Partner with software engineers on overlapping work
Produce and review implementable, AI-ready specifications with decision logic, data definitions, exception handling, human-in-the-loop steps, flow charts, decision tables, data mappings, and acceptance criteria
Own and maintain analysis templates, specification standards, validation checklists, reusable prompts, instructions, and shared context
Identify AI-assisted analysis failure modes and improve controls, guidance, and safe practices
Direct AI agents to produce proofs of concept including business rules, workflow steps, portal pages, n8n flows, and letters
Pair with architects on code-level proofs of concept, run reaction sessions, and iterate based on feedback
Generate and maintain business requirements, decision tables, acceptance criteria, stories, data mappings, test plans, and validation queries
Validate AI-produced analysis with business needs and business users
Compare AI, conventional automation, and process change against quality, cost, risk, and user needs
Develop and oversee test plans for RESTful APIs, Windows services, and database integrations
Analyze test outcomes, resolve differences, and review test results
Lead user acceptance testing and carry solutions through development, test, stage, and production gates
Establish verification strategies, review practices, evaluation cases, human review steps, and controls
Mentor analysts, coach engineers and business users, coach two teammates or an equivalent group, and lead solution teams
Serve as an escalation point for production issues and participate in on-call support
Estimate and log time daily, provide project status, respond to inquiries, demonstrate functionality, and participate in meetings
Shape priorities and advise managers and business leaders on scope, sequencing, and tradeoffs
Track effort, quality, straight-through rates, review-queue load, adoption, and cost; report results honestly
Incorporate industry and AI developments into future company systems
Maintain skills through ongoing training and study
Take immediate containing actions during on-call incidents, such as rolling back releases, pausing communications, parking workflows, or disabling features
Perform occasional scheduled evening or weekend work for deploys, cutovers, migrations, and go-lives

Requirements

What you’ll need

6+ years of business analyst experience, recognized as a business-area authority, including leading cross-system initiatives
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 independently produce a working proof of concept, explain its limitations, and design human review and exception handling
Experience owning several business areas or the department’s largest initiatives and shaping priorities with business leaders
Experience writing implementable specifications with decision logic, data definitions, exception handling, and human review steps
Experience mentoring analysts across levels and coaching engineers on analysis work
Experience establishing templates, specification standards, or validation checklists adopted by a team
Experience with Agile development and project management, including Scrum
Experience with MS SQL databases, SQL for data validation, and Mongo
Ability to read API contracts and JSON
Experience testing and managing testing of 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 communication, verbal communication, and organizational skills
Business acumen and ability to make and defend decisions with incomplete information
Ability to manage multiple tasks within timeline and budget constraints
Ability to thrive in a fast-paced remote team environment and learn diverse technologies, techniques, and business domains quickly
Talent required in values, work intensity, achiever, positivity, resourcefulness, command, relationship-extension, and exactness
Bachelor’s degree in a related field or equivalent experience
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
Must participate in rotating on-call coverage after training, including nights and weekends
Must remain reachable and respond promptly to production alerts within defined response times and escalation paths
Reliable attendance is essential
Ability to work more than 40 hours per week when necessary

Benefits

Comp & perks

Ample opportunities for growth
Thriving culture and coworkers who care
Certified B Corporation commitment to people, community, and planet
Ongoing training and study, including AI fluency courses
Remote work with occasional on-site attendance
Rotating on-call schedule after training
Planned off-hours work with advance notice for production deploys, cutovers, data migrations, and go-lives