Senior Data Science Manager

Genworth • Richmond, VA

1d • Hybrid

About The Position

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care—and we bring those experiences with us to work in serving our millions of policyholders each day. We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism. Our four values guide our strategy, our decisions, and our interactions: Make it human. We care about the people that make up our customers, colleagues, and communities. Make it about others. We do what's best for our customers and collaborate to drive progress. Make it happen. We work with intention toward a common purpose and forge ways forward together. Make it better. We create fulfilling purpose-driven careers by learning from the world and each other. POSITION TITLE Senior Data Science Manager, LTC Experience POSITION LOCATION Richmond, VA (hybrid) YOUR ROLE We are seeking a highly skilled Data Scientist (P4) to join our collaborative and solution-oriented analytics team. This role is ideal for someone with a strong programming and analytical foundation who is passionate about building and upgrading scalable data solutions and performing hands-on coding to support high impact strategic initiatives. You will play a critical role in developing and enhancing the tools used for generating and monitoring key actuarial assumptions—particularly those used for rate increase strategies. What you will be doing Lead, develop, and maintain long-term care (LTC) experience study analytics to monitor trends and provide meaningful insights. Design solutions to enhance analytic capabilities using Python, SQL, and version control to develop robust data transformations, validations, and reporting outputs. Monitor and troubleshoot existing models, assumptions, and data flows to ensure accuracy and reliability Leverage Azure and Databricks for data engineering, modeling, and analytics Partner with stakeholders to understand analytic needs, work with IT to optimize architecture design, and upskill team members with emerging technology tools. Work closely with business partners to build, update, document and enhance key models driving rate action monitoring and projections

Requirements

• Bachelor’s degree in Mathematics, Statistics, Actuarial Science, Business, Finance, Engineering, or a related discipline with substantial technical and analytical coursework
• 7+ years of experience in analytical roles involving quantitative modeling, data engineering, or enterprise analytics
• Strong skills in Python and version control
• Analytical mindset with the ability to interpret data and translate insights into actionable solutions
• Ability to analyze large data in database applications (SQL, Databricks, Azure) for complex querying and data manipulation
• Strong communication skills and collaborating with other teams

Nice To Haves

• Advanced degree in Data Science, Computer Science or Software Engineering
• Experience with Azure, Databricks, and distributed data/compute environments
• Background in data engineering workflows, ETL design, or machine learning pipelines
• Experience in insurance, actuarial modeling platforms (AXIS), or assumption modeling

Responsibilities

• Lead, develop, and maintain long-term care (LTC) experience study analytics to monitor trends and provide meaningful insights.
• Design solutions to enhance analytic capabilities using Python, SQL, and version control to develop robust data transformations, validations, and reporting outputs.
• Monitor and troubleshoot existing models, assumptions, and data flows to ensure accuracy and reliability
• Leverage Azure and Databricks for data engineering, modeling, and analytics
• Partner with stakeholders to understand analytic needs, work with IT to optimize architecture design, and upskill team members with emerging technology tools.
• Work closely with business partners to build, update, document and enhance key models driving rate action monitoring and projections

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior