Data Product and Integration Analyst

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 sponsor ships, 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.

Data Product and Integration Analyst

Richmond, VA

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.

The Data Product & Integration Analyst serves as a key connector between business stakeholders, analytics teams, data engineering, and technology partners to strengthen how enterprise data is defined, integrated, governed, and used. This role is responsible for helping create trusted, curated data assets that support customer segmentation, business reporting, analytics, and informed decision-making across critical policy, customer, and risk-related domains.

The individual will translate business needs into clear data requirements, validate data mappings and business rules, document definitions and lineage, and support data quality controls that improve consistency, usability, and trust. The role also contributes to continuous improvement by identifying opportunities to enhance data accessibility, streamline data processes, strengthen governance practices, and enable scalable data products for reporting and strategic analytics.

• Design and maintain curated datasets that integrate data across multiple systems and domains supporting customer segmentation, and critical business reporting needs.
• Partner with data engineering teams to identify, source, and transform data from multiple systems into trusted enterprise data assets.
• Validate data mappings, lineage, and business rules to ensure accuracy, consistency, and traceability across data domains.
• Support the development and maintenance of data products that enable reporting, analytics, and informed business decision-making.

• Apply enterprise data governance principles to strengthen data quality, integrity, consistency, and usability.
• Develop and maintain business metadata, data dictionaries, business glossaries, and lineage documentation.
• Define and monitor data quality controls, identify issues, and coordinate remediation activities with appropriate stakeholders.
• Partner with business and technology stakeholders to establish common definitions and governance standards across data domains.

• Act as a liaison between business stakeholders and technical teams, translating business needs into clear, actionable data requirements.
• Analyze business processes to understand how data is generated, consumed, and used across the organization.
• Facilitate discussions to align…