Lead Data Scientist - AI Implementation

GM Financial•Fort Worth, TX

47d•Hybrid

About The Position

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: The Lead Data Scientist – AI Focused role is responsible for designing, developing, and deploying advanced AI solutions, including Generative and Agentic AI Agents, to support key business functions. This position emphasizes hands-on technical leadership in AI and machine learning, ensuring scalable and secure implementations. The role collaborates closely with cross-functional teams to drive AI adoption and innovation, while maintaining alignment with organizational priorities and compliance standards.

Requirements

Deep understanding of AI/ML concepts, including Generative AI and Agentic AI
Knowledge of advanced statistical modeling, predictive analytics, and machine learning algorithms
Familiarity with AI frameworks and platforms such as OpenAI, Claude, LLaMA, LangChain, and AutoGPT
Understanding of data governance, privacy standards, and compliance requirements
Solid understanding of IT architectural patterns, system integration, and enterprise technology stacks
Familiarity with RESTful APIs, microservices, and best practices for secure and scalable API design
Awareness of data flow, security, and compliance considerations in system implementations
Hands-on experience with machine learning and AI platforms (Python, R, SAS) and modern AI frameworks
Proficiency in programming languages and tools for AI development and integration
Strong problem-solving and analytical skills; able to translate business problems into AI-driven solutions
Effective communication and presentation skills; able to explain complex AI concepts to non-technical audiences
Ability to design and implement API-driven solutions for seamless integration with enterprise systems
Experience collaborating with IT and engineering teams to ensure AI/ML solutions align with existing infrastructure
Proficient in troubleshooting and optimizing data pipelines and system interfaces for robust performance
Master’s Degree or PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Applied Mathematics, Computational Science or Engineering
5-7 years in related field or function required

Nice To Haves

5-7 years leading through mentorship in related field preferred
5-7 years leading projects and initiatives through influence preferred

Responsibilities

Lead the development and deployment of AI-driven solutions, with a strong emphasis on Generative and Agentic AI technologies.
Collaborate with Data Science, IT, and business teams to implement scalable AI solutions.
Support enterprise AI initiatives under the guidance of senior leadership, focusing on operationalization and adoption.
Conduct research and experimentation on emerging AI technologies to enhance organizational capabilities.
Mentor and coach junior data scientists in AI methodologies and best practices.
Ensure compliance with data privacy, security, and regulatory standards in all AI implementations.
Monitor and optimize AI model performance; develop dashboards and reporting tools for stakeholders.
Participate in automation and process improvement initiatives leveraging AI technologies.

Benefits

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.
Competitive pay and bonus eligibility.
Flexible hybrid work environment, 2 days a week in the office.

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