At AIG, we are reimagining the way we help customers to manage risk. Join us as a Data Science Senior Manager, Generative AI to play your part in that transformation. It’s an opportunity to grow your skills and experience as a valued member of the team.
Make your mark in Generative AI
At AIG, technology is at the heart of everything we do, from underwriting risks to processing claims. The Information Technology team equips our colleagues with the latest tools to complete their work efficiently and with the highest standards of excellence. The team is responsible for shielding the company’s systems from security risks, while designing technology strategies that enable AIG’s businesses to achieve their goals.
How you will create an impact
We are a focused team within AIG extracting insights from data to enable better decision-making, provide better service and experience, and drive business growth. The team leverages latest technologies and approaches to solve business problems, optimize processes and improve organizational performance. We seek highly capable and motivated individuals to join us in this mission.
- Cross-functional Collaboration: Partner with product managers, senior business leaders, data/analytics/ML engineers and software developers to identify, deploy and monitor impactful data science solutions.
- Project Management: Prioritize, plan and drive development and successful deployment of data science projects from identification of use cases to implementation of models. Define and monitor KPIs to continually measure outcomes and model performance.
- Advancing Capabilities: Develop internal assets, source external solution providers, and create partnerships that mature advanced analytics tools and methods to deliver actionable insights. Stay current with emerging technologies and techniques and evaluate and guide fit with organizational technical architecture, capabilities, and strategy.
- Model Governance: Collaborate with privacy, legal and regulatory teams to develop, establish and ensure compliance in the ethical use of data science models. Define, document, and enforce best practices for model development, validation, deployment, and monitoring.
- Hands on Experience: Contribute to day-to-day direction of multiple components of Data Science activities.
What you will need to succeed
- 12+ years in data science
- 8+ years in financial services or insurance
- 5+ years in management/leadership
- Minimum of Master, Preferred PhD in a relevant field or proven record of driving cross discipline solutions in AI, RPA, and digital solutions
- Expertise in data analysis, deep/machine learning, statistical modeling and with Retrieval-Augmented Generation (RAG), prompting or fine-tuning
- Experience with Palantir Foundry, Snowflake, AWS SageMaker or others with AI/ML and cognitive services from a cloud provider
- Expertise in developing and deploying end-to-end AI/ML solutions
- Experience with NLP/NLU/Generative/Conversational AI technologies and methodologies
- Proficiency in Python, R, or Java and relevant frameworks and libraries
- Strong data manipulation abilities using for example Pandas, NumPy and SQL
- Experience with big data technologies such as Hadoop or Spark
- Ability to conceptualize and deploy complex machine analytic and learning models using Agile methods as well as in collaboration in a highly matrix organizational structure
- Excellent project management skills with a proven track record delivering at speed and scale impactful data science solutions on time and within budget
- Strong communication skills to articulate value and method of data science solutions to both non-technical and technical audience
- Ability to lead, motivate and create joint movement
- Ability to travel as needed
Ready to set new industry standards? We would love to hear from you.
Veterans are encouraged to apply.
Functional Area:
DT - Data
Estimated Travel Percentage (%): Up to 25%
Relocation Provided: No
AIG PC Global Services, Inc.
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