Senior Business Systems Analyst

Assurity•Lincoln, NE
•Remote

About The Position

Assurity is seeking a Senior Business Systems Analyst to own analysis practices across several business areas and lead the department’s largest and most complex initiatives. The role shapes priorities with business leaders, owns intake and backlogs, leads discovery, and produces implementable, AI-ready specifications. The analyst maintains team templates, specification standards, validation checklists, and shared AI context, while establishing safe and effective practices for AI-assisted analysis. The position directs AI agents on substantial analysis and proof-of-concept work, validates AI-produced outputs with business users, and develops working proofs of concept in areas such as business rules, workflows, portal pages, n8n flows, and letters. It also oversees testing and verification, leads user acceptance testing, and shepherds solutions through development, test, staging, and production. The role mentors analysts and engineers, supports production systems and user requests, communicates project status, measures value and adoption, and maintains professional skills, including AI fluency. The role is remote with occasional on-site attendance. It includes a rotating on-call schedule after training, including nights and weekends, and may involve occasional planned evening or weekend work for deployments, cutovers, data migrations, and go-lives. Work may exceed 40 hours per week. Travel arrangements and collaboration hours are communicated for the specific opening. Applicants in California, Colorado, Connecticut, the District of Columbia, Hawaii, Illinois, Massachusetts, Maryland, Minnesota, Nevada, New Jersey, New York, Rhode Island, Vermont, and Washington are not currently being considered.

Requirements

  • At least 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 and validating outputs; practical understanding of prompting, context, retrieval, tool use, evaluations, and AI failure modes; ability to independently produce and explain the limitations of a working agent-directed or low-code proof of concept and design human review and exception handling.
  • Experience owning several business areas or the department’s largest initiatives, shaping priorities with business leaders, and writing implementable specifications with decision logic, data definitions, exception handling, and human review steps.
  • Experience mentoring analysts across levels, coaching engineers on analysis work, and establishing team-adopted templates, specification standards, or validation checklists.
  • Experience with Agile development and project management, including Scrum; MS SQL databases and SQL for data validation; Mongo; and reading API contracts and JSON.
  • Experience testing and managing testing of RESTful APIs, Windows services, and database integrations using tools such as Postman, Swagger, BrowserStack, Playwright, or other automated test scripting; 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, and decision-making skills, including the ability to make and defend decisions with incomplete information.
  • Professional written and verbal communication, organizational skills to manage multiple tasks within timeline and budget constraints, and business acumen.
  • Ability to thrive in a fast-paced remote team environment, learn rapidly, master diverse technologies and techniques, and learn a business domain from its data, code, and users.
  • Talent required in values, work intensity, achiever, positivity, resourcefulness, command, relationship-extension, and exactness.
  • Bachelor’s degree in a related field or equivalent experience.
  • Ability to participate in a rotating on-call schedule, including nights and weekends, remain reachable, and respond promptly to production alerts after training.
  • Consistent and reliable attendance.

Nice To Haves

  • Knowledge of Claude, Claude Code, Microsoft Copilot, or similar agentic tools; n8n; Git and GitHub; Azure DevOps or Jira; and ability to read C#, Python, or TypeScript.
  • Experience identifying automation and AI opportunities and defining success measures; designing decision tables, business rules, workflows, state machines, and human-in-the-loop reviews.
  • Insurance or financial services experience, such as new business, underwriting, claims, or policy administration.
  • Relevant technical, analysis, cloud, insurance, or leadership certifications.

Responsibilities

  • Own outcomes, priorities, intake, backlogs, and business relationships for several business areas and solutions; conduct discovery with business users, clarify needs, and settle scope and tradeoffs with sponsors.
  • Lead the department’s largest and most complex initiatives, including cross-business-area work; manage scope, cost, schedule, and coordination across delivery teams.
  • Create and maintain implementable, AI-ready specifications, including decision logic, data definitions, exception handling, human review steps, flow charts, decision tables, data mappings, and acceptance criteria.
  • Own and update team analysis templates, specification standards, validation checklists, and shared context such as reusable prompts and instructions.
  • Identify recurring failure modes in AI-assisted analysis and improve standards, controls, guidance, data handling, and human oversight in coordination with policy owners.
  • Direct AI agents to create working proofs of concept and substantial analysis deliverables; run reaction sessions and iterate based on feedback.
  • Generate and maintain requirements and acceptance criteria from working solutions; confirm AI-generated analysis against business needs and with business users before use.
  • Compare AI, conventional automation, and process changes against quality, cost, risk, and user needs; identify automation opportunities, define success measures, and make recommendations.
  • Record material AI contributions and follow approved tool and data rules.
  • Develop and oversee test plans and testing for RESTful APIs, Windows services, and database integrations; analyze results, resolve discrepancies, and review others’ test results as needed.
  • Lead user acceptance testing for major and cross-system initiatives and shepherd solutions through development, test, stage, and production gates with acceptance evidence, evaluations, human review, controls, ownership, and support confirmed.
  • Establish verification strategies and review practices for the largest initiatives.
  • Mentor analysts across levels and coach engineers and business users in analysis practices, accelerated delivery, and effective agent delegation; coach two teammates or a manager-agreed equivalent.
  • Lead solution teams on the largest initiatives and share reusable templates, prompts, context files, and effective practices as the team adopts agent-directed analysis.
  • Serve as an escalation point for production issues and support systems by resolving user questions and requests, including participation in an on-call rotation.
  • Estimate and log time daily; communicate project status to management and end users; respond to project inquiries, demonstrate functionality, and participate in meetings.
  • Shape priorities with business leaders and advise managers and business leaders on scope, sequencing, and tradeoffs.
  • Baseline effort and quality; track straight-through rates, review-queue load, adoption, and cost; and report results, including unsuccessful outcomes.
  • Incorporate industry developments, including AI capabilities, into future systems and maintain skills through ongoing training and study, including AI fluency courses.
  • Participate in a rotating on-call schedule after training, respond promptly to production alerts, take immediate containment actions when appropriate, and document incidents.
  • Perform occasional scheduled evening or weekend work for production deployments, cutovers, data migrations, and go-lives.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service