Data Scientist Manager

Genworth Financial Inc
  • Richmond, VA
    30+ days ago

    Job Description

    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

    Data Scientist Manager

    POSITION LOCATION

    Richmond, VA (preferred)

    Remote US (Eastern and Central Time Zones)

    This position is available to Virginia residents as Richmond, Virginia in-office applicants or 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, Virginia, Washington DC, Vermont, West Virginia or Wisconsin.

    YOUR ROLE

    As a Data Scientist Manager, you serve as both a strategic thought partner and a technical expert driving advanced analytics capabilities across the organization. You will lead complex, high‑impact initiatives and partner closely with senior leaders to embed data‑driven insights into business strategy.

    This role combines deep analytical expertise with advanced modeling. You will influence decision‑making, develop scalable data products, and elevate the organization's analytic maturity in support of Long‑Term Care Insurance strategy.

    What you will be doing

    • Lead complex, cross‑functional analytics initiatives from concept through execution, ensuring insights drive business strategy.
    • Partner with senior leaders to define analytical problem statements, gather requirements, and translate business needs into data‑driven solutions.
    • Act as a thought leader for data science best practices, analytic design, and modeling approaches across the organization.
    • Influence stakeholders at all levels, presenting insights, use cases, and strategic recommendations.
    • Develop and deploy advanced statistical models, machine‑learning tools, and predictive capabilities supporting LTC strategy and customer insights
    • Conduct deep exploratory data analysis to uncover trends, relationships, and emerging insights that drive strategic action.
    • Design and implement repeatable analytics pipelines, feature engineering strategies, and model validation frameworks.
    • Build advanced datasets and analytical assets using SQL/SAS/Python/R; explore large, complex data environments.
    • Develop subject‑matter expertise in policies, claims, customer behavior, and LTC data ecosystems.
    • Contribute to data modernization projects, including cloud transitions, data engineering co

    Numbers & Facts

    LocationRichmond, VA

    Skills

    • Analysis Skillsunmatched
    • Best Practicesunmatched
    • Business Strategyunmatched
    • Channel Strategiesunmatched
    • Cloud Computingunmatched
    • Customer/Client Researchunmatched
    • Customer/Consumer Behaviorunmatched
    • Data Analysisunmatched
    • Data Scienceunmatched
    • Data Setsunmatched
    • Diversityunmatched
    • Ecosystemsunmatched
    • Financial Trend Analysisunmatched
    • Functional Analysisunmatched
    • Insuranceunmatched
    • Long-Term Careunmatched
    • Machine Learningunmatched
    • Machine Toolunmatched
    • Model Validationunmatched
    • Python Programming/Scripting Languageunmatched
    • R Programming Languageunmatched
    • Requirements Managementunmatched
    • SQL (Structured Query Language)unmatched
    • Scalable System Developmentunmatched
    • Software Engineeringunmatched
    • Statistical Analysis System (SAS)unmatched
    • Statistical Modelingunmatched
    • Thought Leadershipunmatched
    • Trend Analysisunmatched
    • Use Casesunmatched
    • Volunteer Experienceunmatched

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