Insurance Tech: Business Systems Analyst (Hybrid)

MassMutual

Springfield (MA)

Hybrid

USD 110,000 - 140,000

Full time

7 days ago

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Job summary

MassMutual is seeking a Business Systems Analyst to support requirements across insurance product development programs. You will partner with Product, Operations, Architecture, Engineering, QA, Delivery, and vendors to translate business objectives into actionable requirements, guiding successful delivery of new and enhanced insurance products.

The role emphasizes collaboration, traceability, and the use of AI-enabled tools to improve documentation and efficiency across the team while

Qualifications

Bachelor's Degree.
5+ years in Business Analysis, Business Systems Analysis, Product Analysis, Systems Analysis, or a related technology delivery role.
2+ years of experience supporting insurance technology initiatives, preferably across Life, Annuity, Disability, Underwriting, Policy Administration, Product Administration, Illustrations, Billing, Claims, or related insurance operations.

Responsibilities

Elicit and document requirements: Work with business SMEs, product owners, technology teams, and vendors to gather, analyze, document, validate, and maintain business and systems requirements for insurance product development initiatives.
Translate business needs into system-ready detail: Convert product strategies, business rules, product specifications, operational needs, and regulatory considerations into clear business requirements, functional requirements, user stories, use cases, process flows, interface needs, data requirements, and acceptance criteria.
Analyze system and process impacts: Assess upstream, downstream, data, integration, operational, reporting, and customer experience impacts across the insurance technology ecosystem.
Support solution definition: Partner with solution architects, product owners, engineering teams, QA, vendors, and platform teams to clarify requirements, evaluate solution options, identify dependencies, document assumptions, and support design decisions.
Use AI to improve productivity: Apply AI-enabled tools to accelerate first drafts, improve documentation consistency, summarize requirements inputs, identify potential gaps, and explore practical ways to improve effectiveness across the team while applying appropriate review and quality controls.
Facilitate working sessions: Lead or support discovery sessions, requirement reviews, process walkthroughs, design discussions, defect triage conversations, and sign-off preparation with business and technology stakeholders.
Manage requirement clarity and change: Identify requirement gaps, ambiguity, conflicts, and scope changes; document impacts and raise risks, issues, decisions, and open questions to the appropriate project or program leads.
Support testing and validation: Partner with QA, UAT, business SMEs, and engineering teams to ensure test scenarios and acceptance criteria validate business outcomes and integrated system behavior.
Maintain traceability and documentation quality: Keep requirements, decisions, assumptions, dependencies, open items, and acceptance criteria organized, current, and traceable throughout the delivery lifecycle.
Communicate status and risks: Provide concise updates on requirements progress, open questions, risks, decisions needed, and readiness for design, development, testing, and implementation activities.