Senior Business Systems Analyst

Assurity•Lincoln, NE

1d•Remote

About The Position

Assurity is seeking a Senior Business Systems Analyst to lead analysis across several business areas and the department’s largest or most complex initiatives. The role owns outcomes, priorities, intake, backlogs, stakeholder relationships, and the team’s analysis practice. It produces and maintains implementable, AI-ready specifications and directs AI agents on substantial analysis work and working proofs of concept, while verifying results with users and establishing standards and safeguards for responsible AI use. The analyst leads testing and user acceptance for complex and cross-system solutions, guides delivery through development, test, staging, and production, and establishes verification practices. The position also mentors analysts and engineers, supports production systems and participates in an on-call rotation, communicates project status and priorities, and measures delivery value and adoption. The role emphasizes rapid, iterative development with users, ownership through production use, and maintaining clear records of requirements, decisions, tests, and agent context. This is a remote position with occasional on-site attendance. Travel arrangements and collaboration hours are communicated for the specific opening. The role may exceed 40 hours per week and includes a rotating on-call schedule after training, including nights and weekends, as well as occasional scheduled evening or weekend work for deployments, cutovers, data migrations, and go-lives. Applicants in the listed states 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 their output; practical understanding of prompting, context, retrieval, tool use, evaluations, and AI failure modes.
Ability to independently produce an agent-directed or low-code 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, coaching engineers on analysis work, and establishing team-adopted templates, specification standards, or validation checklists.
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 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 making and defending decisions with incomplete information.
Professional written and verbal communication, organizational skills to manage multiple tasks within timelines and budgets, 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.
Required talents include values, work intensity, achiever, positivity, resourcefulness, command, relationship-extension, and exactness.
Bachelor’s degree in a related field or equivalent experience.
Ability to meet consistent and reliable attendance expectations and participate in a rotating on-call schedule after training, including nights and weekends; respond promptly to production alerts within defined response times and escalation paths.
Ability to work more than 40 hours a week when needed and occasionally work scheduled evenings or weekends for production deployments, cutovers, data migrations, and go-lives.

Nice To Haves

Knowledge of Claude, Claude Code, Microsoft CoPilot, or similar agentic tools.
Knowledge of n8n, Git and GitHub, and Azure DevOps or Jira.
Ability to read C#, Python, or TypeScript.
Experience identifying automation and AI opportunities and defining success measures.
Experience with decision tables and business rules, workflow and state-machine design, and human-in-the-loop review design.
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; discover and size business needs and agree on scope and tradeoffs with sponsors.
Lead the department’s largest or most complex initiatives, including cross-business-area work; manage scope, cost, schedule, delivery coordination, and technical-impact analysis.
Produce and review implementable, AI-ready specifications, including decision logic, data definitions, exception handling, human review steps, flow charts, decision tables, data mappings, and user-confirmed acceptance criteria; keep specifications current as implementation questions are resolved.
Own and maintain the team’s analysis templates, specification standards, validation checklists, and shared context, including reusable prompts and instructions.
Identify recurring failure modes in AI-assisted analysis and improve standards, controls, guidance, and safe practices for AI use in coordination with policy owners.
Direct AI agents to create working proofs of concept and substantial analysis deliverables; run reaction sessions, incorporate feedback, and maintain requirements and acceptance criteria as solutions evolve.
Validate AI-produced analysis with business users, compare AI, conventional automation, and process change against quality, cost, risk, and user needs, identify candidates, and recommend opportunities with success measures.
Record material AI contributions and follow approved tool and data rules.
Develop and oversee test plans and testing for complex RESTful APIs, Windows services, and database integrations; analyze outcomes, resolve differences, and review test results.
Lead user acceptance testing and guide cross-system solutions through development, test, staging, and production gates, verifying acceptance evidence, evaluation cases, human review steps, and controls; agree on production ownership and support before release.
Establish verification strategies and review practices for major initiatives.
Mentor analysts across levels; coach engineers doing analyst work, business users, and teammates on accelerated delivery and effective agent delegation; lead solution teams and share reusable practices.
Serve as an escalation point for production issues and support systems by resolving user questions and requests, including through an on-call rotation.
Estimate and log time, provide project status information, respond professionally 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 relevant industry developments, including AI capabilities, into future systems and maintain skills through ongoing training and study.