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.
RESPONSIBILITIES
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
QUALIFICATIONS
What makes you an ideal candidate?
Proven experience defining and delivering modern enterprise data
architecture at scale
Hands-on experience in information architecture, data modeling, and data
warehousing solutions using normalized, dimensional, and fit-for-purpose
modeling approaches
Experience enabling business intelligence and self-service analytics through
semantic layers, shared metrics, enterprise information models, business
ontologies, and business vocabulary standards
Experience with major cloud platforms and modern data platforms,
with preferred experience in Azure and Databricks
Expert SQL skills, with preferred experience in Databricks SQL, query
optimization, reusable views, and metric definitions
Experience with modern semantic layer technologies such as Databricks Unity
Catalog Semantics, dbt Semantic Layer, LookML, or AtScale
Preferred familiarity with Databricks capabilities such as SQL Warehouses,
Unity Catalog, dashboards, MLflow, Feature Store, and AI/BI capabilities
Preferred working knowledge of Python, PySpark, notebooks, jobs, APIs, and
metadata automation in a modern cloud data platform
Preferred experience with Git, CI/CD, configuration-based deployment, and
infrastructure-as-code patterns for managing data platform assets
Experience partnering across business, technology, analytics, governance,
privacy, and security stakeholders to translate business strategy into
governed, reusable data capabilities
Ability to guide architecture decisions that balance business value, risk,
investment, scalability, data quality, and fit-for-purpose solution design
Strong business acumen in the auto insurance industry, with understanding of
insurance operations, customer lifecycle, claims, underwriting, pricing, and
regulatory considerations
Background in regulated or data-sensitive environments
Experience and Education
Greater than 10 years of experience in related function required
3-5 years of experience leading through mentorship in related field required
3-5 years of experience leading projects and initiatives through influence
required
High School Diploma or equivalent required
Associate's degree or High School Diploma plus 2 additional years of related
experience required
Licenses and Certifications
Related certifications and/or licenses required
Member of and recommendation by accredited association in related field
preferred
What We Offer: Generous benefits package available on day one to include: 401K
matching, bonding leave for new parents (12 weeks, 100% paid), tuition
assistance, training, GM employee auto discount, community service pay and nine
company holidays.
Our Culture: Our team members define and shape our culture — an environment that
welcomes innovative ideas, fosters integrity, and creates a sense of community
and belonging. Here we do more than work — we thrive.
Compensation: Competitive pay and bonus eligibility.
Work Life Balance: 100% remote
NOTE: We are unable to consider candidates who require visa sponsorship for this
position
This position is not open to agency submissions
The base range for this role is: $115,000 - $213,000
At GM Financial, we strive for transparency in all aspects of our business,
including pay equity. This is the GM Financial pay range for this role and job
level. The exact salary and compensation will vary based on factors like
knowledge, skills, experience, and education.
This role is eligible to participate in a performance-based incentive plan.
Full-time employees are eligible to participate in health benefits on day one of
employment.