Lead Data Scientist - AI Implementation

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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.

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, Lang Chain, 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

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