Senior Business Systems Analysis Manager

Genworth Financial

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Richmond, VA
Salary
$120,900–$187,000 / yr
Posted
44 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $153k
This role $154k
$110k most similar roles pay here $195k

This role pays more than 52% of similar roles. Most pay $122,375–$184,325 — the shaded band above. At the midpoint, this role pays about $154k versus about $153k for comparable roles.

Based on 240 similar postings.

Employer

About Genworth Financial

Genworth Financial is a financial services company focused on mortgage insurance, long-term care insurance, and life insurance and annuity products to help people protect their financial well-being. Industry: Insurance & Financial Services

Genworth Financial currently has 24 open roles on FindRole.

Listed pay typically runs $120,900–$187,000 across 24 roles with salary data.

Most-posted roles

View all roles at Genworth Financial

At a glance

TL;DR · Senior Business Systems Analysis Manager

Senior Business Systems Analysis Manager, Product Technical Development serves as the senior technical business owner for the Life Exception policy administration and in-force Illustration platform known as LASSIE. This role involves managing a small team of product analysts and APL coders while overseeing end-to-end requirements for complex calculation changes, defect resolutions, and modernization initiatives. The position requires translating regulatory updates and business needs into actionable technical requirements across Python-based calculation engines and legacy A Programming Language tools. Key responsibilities include partnering with Actuarial Technology and Data Engineering teams to ensure systems are secure and maintainable. Candidates must possess expertise in Python programming, SQL Server, and PostgreSQL databases. The role focuses on the insurance industry domain, specifically addressing policy administration, illustration calculations, and the modernization of legacy code into scalable, modern platforms within a controlled environment.

What you'll do

  • Serve as the technical business owner for the LASSIE platform and related calculation tools.
  • Manage and mentor a team of product analysts and APL coders while providing guidance on Python development practices.
  • Lead end-to-end requirements gathering for complex calculation changes, defect fixes, and modernization initiatives.
  • Translate business intent and regulatory updates into actionable technical requirements for IT and engineering teams.
  • Design, test, and document application changes in collaboration with Data Engineering, Cloud COE, and Actuarial teams.
  • Maintain comprehensive documentation of calculation logic and change history to ensure audit and compliance traceability.
  • Perform root cause analysis for production issues and coordinate resolution efforts across business and IT resources.
  • Manage the transition of legacy APL tools into modern Python-based systems on the LASSIE platform.

What we're looking for

  • Bachelor’s degree in computer science, information systems, actuarial science, mathematics, engineering, or a related technical discipline, or equivalent experience.
  • 7 to 10+ years of relevant experience.
  • Significant progressive application development experience in the insurance industry with specialized depth in Python programming.
  • Strong experience in Business Systems Analysis and Product Analysis with ownership of complex initiatives.
  • Experience partnering with IT, cloud, data engineering, security, and business teams to deliver enhancements across integrated systems.
  • Ability to lead technical initiatives or small teams while managing competing priorities and communicating risks clearly.
  • Experience using AI-enabled tools for code translation, modernization, testing, and documentation.
  • Proficiency in relational databases including SQL Server and PostgreSQL for data analysis and troubleshooting.

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