Enterprise Data Architect – Insurance Data & AI Enablement

Genworth Financial, Inc.; Lynchburg (VA); Hybrid; USD 121,000 - 187,000; Full time

Benefits offered by this job

Competitive compensation

Healthcare coverage

401(k) options

Paid time off

Training & certification support

Wellness programs

Job summary

Genworth Financial, Inc. is seeking a Lead Data Architect in Virginia to design comprehensive data models and blueprints for enterprise data systems, ensuring security, accessibility, and scalable delivery.

You will establish data domains, interoperability across platforms, pipelines, ML/AI applications, and governance frameworks to enable cost-efficient data product delivery. The role requires leadership in modeling and collaboration across teams, with a strong emphasis on data governance,

Qualifications

• Bachelor’s degree in computer science, information systems, data science, mathematics, or related field is required.
• Master’s degree is preferred for advanced data architecture responsibilities.
• Strong analytical and communication skills for cross-functional collaboration.

Responsibilities

• Develop conceptual, logical, and physical data models for BI, AI/ML, and operational use cases.
• Define enterprise data models and data domains to guide multiple teams and vendors.
• Design interoperable data solutions across platforms, pipelines, governance, and cloud services.

Skills

Data modeling

SQL

Data governance

Lakehouse

ETL/ELT

Cloud platforms

Education

Bachelor’s degree in Computer Science, Information Systems, Data Science, Mathematics, or related field

Master’s degree preferred

Tools

ER Studio

Databricks

Spark

SQL tooling

Job description

Genworth Financial, Inc. is seeking a Lead Data Architect in Virginia to design comprehensive data models and blueprints for enterprise data systems, ensuring security, accessibility, and scalable delivery.

You will establish data domains, interoperability across platforms, pipelines, ML/AI applications, and governance frameworks to enable cost-efficient data product delivery. The role requires leadership in modeling and collaboration across teams, with a strong emphasis on data governance,