Sr Manager - Data Architecture

Genworth • Lynchburg, VA

21h • $120,000 - $195,000 • Hybrid

About The Position

This role is responsible for designing the structural blueprints for Genworth’s data systems, ensuring that the data is secure, accessible, and available to meet business goals and requirements. The blueprints will detail how data is collected, stored, integrated, transformed, and published, providing enough detail for other teams to implement them. These blueprints will also include capability frameworks to ensure consistency across teams and utilize pre-built components or templates for cost-effective and faster execution of data product delivery.

Requirements

• Bachelor’s degree in computer science, Information Systems, Data Science, Mathematics, or related field.
• Minimum 3 years of experience in data modeling in a Lakehouse analytics environment.
• Proficiency in a data modeling tool such as ER Studio.
• Experience with big data technologies and platforms (e.g., DataBricks, Spark, AWS, Azure).
• Expert level in DDL and SQL development.
• Experience working with data governance, quality frameworks, and metadata management, and how this connects to data modeling practices and needs.
• Strong analytical, problem-solving, and critical thinking skills needed for data modeling.
• Excellent communication and interpersonal abilities.
• Ability to work independently and collaboratively in a cross-functional team environment.
• Ability to understand insurance business processes, goals, and pain points to design data models that solve real-world problems.
• Deep familiarity with modern data modeling techniques, database management, and analytics platforms.
• Ability to thrive in a fast-paced, dynamic environment and quickly pivot between projects.

Nice To Haves

• Master’s degree preferred.
• Understanding of PII and PHI data and how they are governed and secured.
• Experience working on an agile team using agile tools, and associated practices.
• Data taxonomies in insurance.
• Knowledge of Azure and AWS services relevant to data architecture and services.
• Knowledge of data lakes, and data pipelines that transform raw data into the data that is required.

Responsibilities

• Establish enterprise data models including an enterprise insurance data model that is followed by different build and vendor partners.
• Define data domains and structures based on business requirements.
• Define and enable consistent data designs so data solution construction and data user experience is consistent.
• Create decision trees to define what must be consistent based on the situation and requirements.
• Define and design interoperability across data solutions including the technology platforms, data pipelines, data models, ML and AI applications, data governance platforms, data security, and hyper scaler cloud services.
• Align and leverage data governance interoperability work such as leveraging data stewards for defining data model attribute names and definitions.
• Work with the data governance team on metadata information about the data model that is needed for data governance management.
• Data modeling: Develop conceptual, logical, and physical data models for business intelligence, AI and ML requirements, and operational data use cases.
• Performance Optimization: Monitor and optimize data models for query performance and scalability.
• Collaborating with data modelers on how their data model scope should integrate into the enterprise insurance data model.
• Participating in meetings with business stakeholders to understand analytical or operational data needs so the best data modeling approach is selected.
• Designing and documenting data models, including entity relationships and dimensional models.
• Serve as a bridge between technical teams and business teams, clearly communicating the value and limitations of data models so adoption of the data models occurs.
• Provide data model training activities so business users can effectively build required queries against the model.
• Collaborating with data engineers to create data pipelines to populate the data models.

Benefits

• Competitive Compensation & Total Rewards Incentives
• Comprehensive Healthcare Coverage
• Multiple 401(k) Savings Plan Options
• Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!)
• Generous Paid Time Off – Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave
• Disability, Life, and Long Term Care Insurance
• Tuition Reimbursement, Student Loan Repayment and Training & Certification Support
• Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management)
• Caregiver and Mental Health Support Services

What This Job Offers

• Job Type: Full-time
• Career Level: Manager