Data Product and Integration Analyst

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 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.

POSITION TITLE

Data Product and Integration Analyst

POSITION LOCATION

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.

YOUR ROLE

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.

What you will be doing

Data Integration & Management

• 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.

Data Governance & Stewardship

• 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.

Business Translation & Requirements Management

• 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 stakeholders on data definitions, requirements, priorities, and expected outcomes.
• Partner with reporting and analytics teams to ensure data solutions support business objectives and decision-making needs.

Analytics & Continuous Improvement

• Identify opportunities to improve data accessibility, data quality, process efficiency, and governance practices.
• Perform exploratory analysis to validate business assumptions and support strategic initiatives.
• Recommend enhancements to data models, data flows, and governance processes.
• Support enterprise initiatives involving customer segmentation, risk analytics, and operational reporting.

Collaboration & Leadership

• Serve as a subject matter resource for data assets within assigned business domains.
• Provide guidance to team members and stakeholders on data governance standards and…