Data Architecture Technical Principal - General Motors Insurance
- GM Financial
- Fort Worth, TX, United States
Job Description
Remote work opportunity
Why GM Financial Technology
Innovation isn’t just a talking point at GM Financial; it’s how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We’re committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.
Join us and discover a workplace where your ideas matter; your development is prioritized, and you can truly make a global impact.
About the role:
We are building out the next great business within General Motors, an insurance company that will disrupt the traditional model using our advantages as a subsidiary of the largest US automaker. Our success depends on our ability to make disciplined, principled decisions at scale based on a foundation of rigorous data and machine learning. We will use data science and analytics to leverage our advantages in acquisition and telematics to create an insanely simple insurance product that GM vehicle owners love.
The Technical Principal is a technical thought leader responsible for defining and scaling the data architecture for GM Insurance. This role establishes the standards, patterns, and technical direction needed to deliver trusted data products and scalable self-service, analytics, and AI capabilities across the business.
As GM Insurance grows, this role ensures the organization has the right data foundation to make better decisions, scale AI and machine learning, and enable business-ready self-service analytics across the enterprise.
In this role you will:
Defines the target-state data architecture, including how data is transformed, organized into business-ready structures, made available for use, and consumed by analytics, AI, reporting, and business applications
Plans, develops, improves, and maintains the data architecture for data warehouse and data marts
Enables metric and KPI standardization through semantic modeling, business definitions, and reusable data products
Creates shared business context and AI reasoning capabilities through a business ontology
Designs and delivers enterprise data products aligned to core business domains
Establishes analytics modeling standards that enable self-service analytics and consistent reporting
Performs in-depth data analysis and data modeling in support of the target-state architecture
Ensures data consistency and accessibility
Collaborates with IT and business teams
Evaluates and integrates new data management technologies
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