Principal Data Scientist - GenAI Development & Solutioning

General information

Career area

Consumer Analytics

Work Location(s)

2911 Lake Vista Drive, TX

Remote?

No

#

22440

Posted Date

06-03-26

Working time

Full time

Ally and Your Career

Ally Financial only succeeds when its people do - and that's more than some cliché people put on job postings. We live this stuff! We see our people as, well, people - with interests, families, friends, dreams, and causes that are all important to them. Our focus is on the health and safety of our teammates as well as work-life balance and diversity and inclusion.

From generous benefits to a variety of employee resource groups, we strive to build paths that encourage employees to stretch themselves professionally. We want to help you grow, develop, and learn new things. You're constantly evolving, so shouldn't your opportunities be, too?

Work Schedule:

Ally designates roles as (1) fully on-site, (2) hybrid, or (3) fully remote. Hybrid roles are generally expected to be in the office a certain number of days per week as indicated by your manager. Your hiring manager will discuss this role's specific work requirements with you during the hiring process. All work requirements are subject to change at any time based on leader discretion and/or business need.

The Opportunity

As a leader in digital financial services, our customer and employee experiences run on data. We depend on the Ally analytics community to fuel these journeys and to help nearly 10,000 leaders and employees make countless data-driven decisions every day. Our analytics community has hundreds of analytics professionals across Ally in communities focused on business analytics, data science, R, Python, Power BI and more and continues to grow every day.

As you read this, our Technology and Digital organization is deploying our new Cloud Computing platform to accelerate and expand our digital capability.

We're looking for a highly skilled Principal Data Scientist with technical expertise and GenAI knowledge for our Auto Consumer Strategy & Analytics group. This candidate will report to the Data Science Director, with responsibilities of supporting initiatives across GenAI/LLM solutioning, model development & governance, vendor selection, and emerging generative AI innovations. This candidate will also partner with business stakeholders, technology teams, and risk partners to deliver high-quality GenAI solutions and tools, and ensure responsible, effective deployment of AI solutions.

Successful candidates should have hands-on experience with data and modeling, while demonstrating strong communication skills and the ability to influence a complex organization.

Do you have a focus on measurable business outcomes, strong analytical skills, and a desire to make an impact? If you are a creative and critical thinker, storyteller, learner and innovator and want to work in an environment focused on using data science and big data tech, keep reading.

The Work Itself

In this role, you will lead the development and deployment of cutting-edge generative AI/agent solutions that drive business transformation. You will design and implement advanced GenAI tools utilizing experimentation, multi-modal data, and the latest AI techniques to solve complex problems and unlock new opportunities. As a technical expert and innovator, you will collaborate closely with cross-functional teams and partner with external GenAI vendors/providers to ensure our AI systems are robust, responsible, and deliver measurable impact.

You will also lead the architectural design and development of state-of-the-art machine learning, generative AI, and agent systems that enhance user experience, drive revenue, and ensure operational excellence.

Key Responsibilities

* Develop/Implement/Test AI solutions for the Consumer Auto organization, including supporting vendor-developed Agentic AI models and its governance

* Leverage novel approaches to continuously improve model performance and business outcomes

* Advance responsible AI practices by integrating governance, ethical considerations, and security into every stage of model development and deployment

* Develop and maintain trustworthy benchmarks and operational performance…