Senior AI Data Science Manager: Generative AI Leader

KeyBank; United States; Hybride; USD 116 000 - 216 000; Plein temps

Avantages offerts par ce poste

In-office with flexible options

Incentive compensation eligibility

Résumé du poste

KeyBank is seeking a Senior Manager, Data Science to lead a team of Data Scientists focused on AI-powered solutions across sales enablement, onboarding, servicing, and risk assessment.

You will steer prompt engineering, data curation, model evaluation, and responsible AI practices, balancing hands-on leadership with people management to deliver ethically sound AI solutions aligned with regulatory requirements.

Qualifications

• Master's or Ph.D. in a quantitative discipline with 7+ years in relevant roles, incl. 2+ years of people leadership.
• Proven experience leading data science or AI teams and guiding cross-functional partners.
• Deep expertise in ML/AI modeling, GenAI techniques, and LLM architectures.
• Hands-on Python with ML libraries (Pandas, NumPy) and LLM tooling.
• Knowledge of cloud and distributed computing; familiarity with vector databases and MLOps.

Responsabilités

• Lead and develop a Data Science team, setting goals and delivering multiple AI initiatives.
• Guide generative AI solution strategy, including prompt/context engineering and model evaluation.
• Establish frameworks to evaluate LLM performance and ensure data curation standards.
• Document model configurations and collaborate with risk/compliance teams for safe deployments.
• Promote ethical AI practices and governance while advancing data science strategy.

Connaissances

Team leadership

Strategic thinking

Python programming

Communication

MLOps awareness

Formation

Master's degree in quantitative field

Ph.D. in quantitative discipline

Outils

Hugging Face Transformers

LangChain

OpenAI API

Pandas

NumPy

Vector databases

Description du poste

KeyBank is seeking a Senior Manager, Data Science to lead a team of Data Scientists focused on AI-powered solutions across sales enablement, onboarding, servicing, and risk assessment.

You will steer prompt engineering, data curation, model evaluation, and responsible AI practices, balancing hands-on leadership with people management to deliver ethically sound AI solutions aligned with regulatory requirements.