POSITION TITLE

Senior Business Systems Analysis Manager, Product Technical Development

POSITION LOCATION

Richmond, VA

Remote US (Eastern or Central Time)

This position is available to Virginia residents as Richmond, Virginia in-office applicants

*A Hybrid schedule of both Remote and In-Office days is required. In office days are Tuesday, Wednesday and Thursday with working hours targeting our core business hours of 9am-5pm EST.

This position is available to remote applicants residing in states/locations under Eastern or Central Standard Time: Alabama, Arkansas, Connecticut, Delaware, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nebraska, New Hampshire, New Jersey, New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Vermont, Virginia, Washington DC, West Virginia or Wisconsin.

* A Hybrid schedule of both Remote and In-Office days would be required if you reside within 50 miles of a Genworth | CareScout office with working hours targeting our core business hours of 9am-5pm EST.

YOUR ROLE
As manager of the Life Product Technical Development team, you will serve as the senior technical business owner for the Life Exception policy administration and in-force Illustration platform (LASSIE), including the desktop based 'A Programming Language' (APL) tools not yet converted.

You will be responsible for driving end-to-end requirements for complex calculation changes, including enhancements, defect resolution, and modernization initiatives across the Python-based calculation engine and legacy APL tools. This role requires strong domain understanding, the ability to navigate ambiguity, and ownership of delivering high-quality, implementation-ready requirements. You will apply specialized Python development expertise and strong engineering practices to keep the calculation engine current with changing regulatory, product, and business requirements while identifying, recommending, and delivering scalable enhancements that strengthen long-term platform quality.

Your work will require independent judgment, broad technical perspective, and the ability to solve complex production, calculation, data, and integration issues in a controlled environment. You will partner closely with Actuarial Technology, Data Engineering, Cloud COE, Product Actuarial, and other IT teams to design, test, document, and implement application changes that are secure, resilient, maintainable, and production ready. You will also provide technical guidance and knowledge transfer to product analysts and APL coders, promote coding discipline and testing rigor, and help shape the long-term strategy for modernizing remaining APL capabilities into Python and the LASSIE platform where appropriate.

What you will be doing
• Serve as the technical business owner for the LASSIE platform and related calculation tools, applying specialized application development expertise to maintain, enhance, and modernize Python-based calculation capabilities.
• Manage and develop a small team of product analysts / APL coders (Product Technical Development); provide technical guidance, coaching, and knowledge transfer, including Python development practices, code hygiene, expectations for documentation, and testing discipline.
• Lead and own end-to-end requirements for LASSIE enhancements, defect fixes, and calculation changes across the Python-based engine and supporting tools.
• Partner with Product and Actuarial teams to understand business intent, regulatory updates, and feature needs, and translate them into clear, actionable requirements that align with Genworth standards, controls, and long-term platform strategy.[AB1.1]
• Design, develop, test, document, and implement changes for LASSIE in partnership with Actuarial Technology, Data Engineering, Cloud COE, Product Actuarial, and other IT partner teams.
• Maintain clear and comprehensive documentation of requirements, calculation logic, and change history. Ensure traceability across requirements, implementation, and validation to support audit and compliance needs.
• Lead analysis and clarification for enhancements and bug fixes within the Python calculation engine. Support root cause analysis and resolution of calculation and production issues, ensuring alignment with expected business outcomes. Coordinate work across business and IT resources, establishing technical priorities, and communicate status, risks, and recommended decisions to stakeholders.
• Maintain and support APL tools for in-force illustrations and exception policy administration while developing plans to convert or integrate remaining capabilities into Python and the LASSIE platform where appropriate.
• Apply strong engineering fundamentals and coding best practices to keep solutions modular, scalable, secure, resilient, and maintainable as the platform grows.
• Support Customer Service and business partners with complex product calculation questions, production research, and issue resolution.

What you bring
• Bachelor's degree in computer science, information systems, actuarial science, mathematics, engineering, or a related technical discipline, or equivalent experience.
• 7-10+ years of relevant experience
• Significant progressive application development experience in the insurance industry, including specialized depth in Python programming and experience supporting complex business-critical applications.
• Strong experience in Business Systems Analysis / Product Analysis, with demonstrated ownership of complex initiatives.
• Experience partnering with IT, cloud, data engineering, security, and business teams to design and deliver application enhancements across integrated systems and controlled environments.
• Ability to lead complex technical initiatives or small technical teams, coordinate internal and external resources, manage competing priorities, and communicate risks, tradeoffs, and recommendations clearly.
• Experience using AI-enabled tools to support code translation, modernization, testing, documentation, or developer productivity while maintaining appropriate review and control discipline.
• Strong critical thinking, analytical, communication, collaboration, and stakeholder management skills, with the ability to translate complex technical concepts for both technical and non-technical audiences.
• Demonstrated ability to mentor and guide team members with strong product expertise, while actively driving and supporting their upskill in Python programming.
• Experience working with relational databases - SQL Server and PostgreSQL - with focus on data analysis, troubleshooting, and validation.
• Working knowledge of life insurance products, illustration calculations, or policy administration systems is preferred.
• General understanding of APL (A Programming Language) or experience modernizing legacy code is preferred.

Employee Benefits & Well-Being

Genworth employees make a difference in people's lives every day. We're committed to making a difference in our employees' lives.

• Competitive Compensation & Total Rewards Incentives
• Comprehensive Healthcare Coverage
• Multiple 401(k) Savings Plan Options
• Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!)
• Generous Paid Time Off - Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave
• Disability, Life, and Long Term Care Insurance
• Tuition Reimbursement, Student Loan Repayment and Training & Certification Support
• Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management)
• Caregiver and Mental Health Support Services

ADDITIONAL

• At this time, Genworth will not sponsor a new applicant for employment authorization for this position.
• No agencies please.

National Range: $120,900 - $187,000

High-Cost Range (includes New York): $151,100 - $234,000

Disclaimer: This role is aligned to a national market-based pay range. Actual compensation will vary based on geographic location, experience, skills, and other job-related factors. In addition to base salary, this role is eligible to participate in a bonus incentive plan. Incentive compensation is based on individual and company performance and is not guaranteed.