Manager Data Science, GenAI

AIG; Atlanta (GA); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Comprehensive benefits package

Focus on health and well-being

Professional development opportunities

Job summary

AIG is seeking a Manager of Data Science to lead a team focused on developing enterprise-level generative AI solutions. This role requires extensive hands-on experience and involves overseeing project delivery in an agile environment. Candidates must demonstrate strong management skills and a deep understanding of data science applications.

The ideal applicant will have 7+ years in data science, including experience with NLP, and a relevant advanced degree. Benefits emphasize health, well-being, and professional growth.

Qualifications

• 7+ years of experience in a data science role, preferably in NLP.
• 3+ years managing teams of data scientists/engineers.
• 2+ years hands-on experience with generative AI solutions.
• Experience with performance optimization in big data environments.

Responsibilities

• Oversee development and delivery of generative AI solutions.
• Develop technical delivery plans and execute them.
• Mentor and develop junior data scientists.
• Collaborate with product managers, engineers, and leaders.

Skills

Data science

NLP

Team management

Generative AI solutions

Collaboration

Education

Ph.D. or Master’s in Data Science, Computer Science, or a related field

Tools

Palantir platform

Apache Spark

PySpark

Job description

About the Role

Be part of something groundbreaking. At AIG, we are making long‑term investments in a brand‑new, innovative Generative AI team, designed to explore new possibilities for how artificial intelligence can be applied in insurance and beyond, and we need your help. With the support and investment needed to explore new frontiers in generative AI, you’ll be working alongside talented colleagues, innovating and leading projects that will transform how we manage risk and serve our customers. This team is central to our vision of the future and the core of our business offering. We will incorporate best‑in‑class engineering and product management principles and your guidance and collaboration will be critical to its success. To rapidly advance and innovate, we need your skills and expertise to build and scale world‑class products. If you’re excited by the opportunity to create meaningful impact, we’d love to hear from you.

Company Overview

AIG is a leading global insurance organization providing a wide range of property casualty insurance and other financial services. We provide world‑class products and expertise to businesses and individuals in approximately 190 countries and jurisdictions. At AIG, we’re reshaping how the world manages risk, and we’re inviting you to be a key part of that transformation.

Role Summary

As a Manager of Data Science at AIG, you will play a critical role in building and overseeing a team of data scientists tasked with delivering impactful, enterprise‑level generative AI solutions. We are an applied data science team operating in an agile, production‑oriented environment, and we are seeking someone with extensive hands‑on experience. Candidates with only managerial or architecture backgrounds should not apply.

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.

Qualifications

• 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: deep 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 knowledge of performance optimization in big data environments, with hands‑on experience using distributed data processing frameworks such as Apache Spark or PySpark.
• Agentic solution design: 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 communication and effective collaboration within and across teams.
• Ability to operate as both a hands‑on practitioner and a people manager.
• Highly technical, with a strong bias for execution.

Benefits

At AIG, we value in‑person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. The Total Rewards Program provides a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing, and financial security, as well as your professional development.

Inclusion Statement

AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories. Veterans are encouraged to apply. AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to [e-mail].