Analytics Data Modeler Lead bei Gnw

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 sponsorships, 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

Analytics Data Modeler Lead

POSITION LOCATION

Richmond

YOUR ROLE

The Analytics Data Modeler plays a vital role in transforming raw data into meaningful business insights. This professional is responsible for designing, developing, and maintaining robust data models that empower organizations to make informed decisions based on accurate and accessible information. Working at the intersection of business needs, data architecture, and advanced analytics, the Analytics Data Modeler ensures that data flows seamlessly and can be leveraged to derive actionable intelligence.

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 that can support advanced analytics.
• Requirement Analysis: Collaborate with business analysts, stakeholders, and subject matter experts to gather and interpret requirements for new data initiatives. Translate business questions into data models that can answer these questions.
• Data Integration: Work closely 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 which includes relational, star schema and denormalized data sets for BI and ML data consumers.
• Metadata Management: Team with the data governance team so detailed documentation on data definitions, data lineage, and data quality statistics are available to data consumers.
• Data Quality Assurance: Establish master data management data modeling so the history of how customer, provider and other party data is consolidated into a single version of the truth. transformation.
• Collaboration and Communication: Serve as a bridge between technical teams and business units, clearly communicating the value and limitations of various data sources and structures.
• Continuous Improvement: Stay abreast of 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 in collaboration with database administrators.
• Governance and Compliance: Ensure that data models and processes adhere to regulatory standards and organizational policies regarding privacy, access, and security.

What you bring

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Mathematics, or related field. Master’s degree preferred.
• Minimum 3 years of experience in data modeling, data analysis, or database development, preferably in analytics-driven environments.
• Proficiency in Erwin.
• Solid understanding of DataBricks Delta tables and Postgres database platforms.
• Experience with big data technologies and platforms (e.g., DataBricks, Spark, AWS, Azure).
• Expertise in SQL.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication and interpersonal abilities.
• Experience with data governance, quality frameworks, and metadata management.
• Knowledge of business intelligence tools (e.g., Power BI, Spotfire).

Nice to have

• Data domain expertise in insurance and/or medical businesses.
• Knowledge of cloud data management, data lakes, and ETL (Extract, Transform, Load) processes.
• Ability to work independently and collaboratively in a cross-functional team environment.
• Strong attention to detail and commitment to data accuracy.
• Familiarity with Agile methodologies and project management practices.
• Experience with Python
• Understanding of industry-specific regulations (GDPR, HIPAA, etc.)

Employee Benefits & Well-Being

Genworth employees make a difference in people’s lives every day. We’re committed to making a difference in our employees’ lives.

• 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

This role is not eligible for employment visa sponsorship.