Manager Data Science, GenAI

About the role

Join our groundbreaking Generative AI team at AIG, exploring new possibilities for artificial intelligence in insurance and beyond. As a Manager of Data Science, you'll lead a team of data scientists in developing impactful, enterprise-level generative AI solutions.

Responsibilities

• Oversee the development and delivery of data science and generative AI solutions aligned with business requirements.
• Monitor solutions in production.
• Develop technical delivery plans and execute them to ship solutions on time.
• Mentor and develop junior data scientists.
• Collaborate with cross-functional teams including product managers, engineers, and business leaders.
• Build evaluation frameworks to measure LLM effectiveness, ground-truth dataset quality, and guide the product development roadmap.

Requirements

• 7+ years of experience in a data science role—preferably in NLP—in an agile, production-oriented environment.
• 3+ years of experience managing teams of data scientists and/or engineers.
• 2+ years of hands-on experience building generative AI solutions: prompt engineering, RAG and agentic frameworks, validation pipelines, and observability and monitoring solutions.
• Experience on the Palantir platform or demonstrated certification is preferred.
• Ph.D. or Master's in Data Science, Computer Science, or a related field.

Preferred Qualifications

• Ontology Mastery: Strong understanding of Ontology—specifically how to map complex real-world data entities and relationships into a digital twin framework to power AI applications.
• Large-scale Data Infrastructure: Strong understanding of performance optimization in big data environments, with hands-on experience using distributed data processing frameworks such as Apache Spark or PySpark.
• Agentic Solution: Experience implementing advanced agentic architectures, such as autonomous agents capable of multi-step reasoning and decision-making or integrating agentic solutions with large-scale enterprise systems.

Required Competencies

• Ability to thrive in a fast-paced, high-stakes environment.
• Clear communicator and effective collaborator within and across teams.
• Able to operate as both a hands-on practitioner and a people manager.
• Highly technical, with a strong bias for execution.