GM Financial-posted about 18 hours ago
Full-time • Mid Level
Hybrid • Fort Worth, TX
5,001-10,000 employees

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.

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