Manager Data Science, GenAI

About the Role As a Manager of Data Science at AIG, you will lead a team of data scientists to deliver enterprise-grade generative AI solutions. This role blends hands-on technical leadership with people management in an agile, production-oriented environment; candidates with only managerial or architecture backgrounds should not apply.

What You'll Do

• Oversee the development and delivery of data science and generative AI solutions aligned with business requirements, and 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.

What We're Looking For

• 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.

Nice to Have

• Ontology mastery: a strong understanding of mapping 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.

Compensation & Benefits

• Total Rewards Program with a comprehensive benefits package focused on health, wellbeing, and financial security, as well as professional development.
• Emphasis on in-person collaboration and a culture of inclusion that supports growth and development across teams.