Analytics Data Modeler Lead

Overview

Analytics Data Modeler Lead at Genworth

The Analytics Data Modeler Lead transforms raw data into meaningful business insights. This role designs, develops, and maintains robust data models that empower informed decision-making based on accurate and accessible information. The position operates at the intersection of business needs, data architecture, and advanced analytics to ensure data flows are seamless and can be leveraged to derive actionable intelligence.

This role is based in Virginia and is available to Richmond or Lynchburg, VA hybrid in-office applicants or remote applicants residing in states / locations under Eastern or Central Time.

States : 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, Wisconsin.

This role is not eligible for employment visa sponsorship.

What You Will Be Doing

• Data Modeling and Design : Develop conceptual, logical, and physical data models for business intelligence, analytics, and reporting solutions. Transform requirements into scalable, flexible, and efficient data structures to support advanced analytics.
• Requirement Analysis : Collaborate with business analysts, stakeholders, and subject matter experts to gather and interpret requirements for data initiatives. Translate business questions into data models that answer these questions.
• Data Integration : Work with data engineers to integrate data from multiple sources, ensuring consistency, accuracy, and reliability. Map data flows and document relationships between datasets.
• Database Architecture : Design and optimize database schemas using the medallion architecture, including relational, star schema, and denormalized data sets for BI and ML data consumers.
• Metadata Management : Collaborate with the data governance team to document data definitions, data lineage, and data quality statistics for data consumers.
• Data Quality Assurance : Establish master data management through data modeling so that the history of how customer, provider, and other party data are consolidated into a single version of the truth.
• Collaboration and Communication : Bridge between technical teams and business units, clearly communicating the value and limitations of data sources and structures.
• Continuous Improvement : Stay current with emerging trends in data modeling, analytics platforms, and big data technologies. Recommend enhancements to existing data models and approaches.
• Performance Optimization : Monitor and optimize data models for query performance and scalability. Troubleshoot and resolve performance bottlenecks with DBAs as needed.
• Governance and Compliance : Ensure data models and processes adhere to regulatory standards and organizational policies regarding privacy, access, and security.

What You Bring

Nice to Have

Employee Benefits & Well-Being

The base salary pay range for this role starts at a minimum of $120,000 up to a maximum of $200,000. In addition to base pay, you may be eligible to participate in an incentive plan with a target earning opportunity of 15% of base compensation. Final base pay will be determined by location, experience, and qualifications to ensure pay equity.

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