Remote Senior Generative AI & Data Science Lead

Ladders; United States; Remote; USD 116,000 - 216,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Ladders is seeking a Sr AI Data Science Manager to lead a remote team focused on advancing generative AI and LLM-driven solutions for a regulated Finance & Insurance landscape. You will set technical standards, guide model development, and partner with validation and compliance to translate AI capabilities into practical outcomes.

The ideal candidate will strengthen AI ethics, ensure scalable performance, and drive responsible deployment while collaborating with business and technology

Qualifications

• 7+ years in quantitative fields with 2+ years in leadership.
• Proven track record leading data science or AI teams and delivering solutions.
• Deep expertise in traditional ML/AI and Generative AI with LLMs.

Responsibilities

• Lead and mentor a team of data scientists, fostering innovation and accountability.
• Guide development and implementation of generative AI solutions ensuring regulatory compliance.
• Establish frameworks for evaluating LLM performance and data curation practices.
• Oversee documentation of AI models with validation and compliance teams for ethical deployment.
• Champion continuous improvement in AI output quality and relevance.
• Translate AI concepts into actionable business insights for partners.
• Strengthen organizational capability in Generative AI ethics and governance.

Skills

Leadership

ML/AI expertise

Python

Communication

LLMs

Regulatory awareness

Team mentoring

Education

Master's or PhD in a quantitative discipline

Job description

Ladders is seeking a Sr AI Data Science Manager to lead a remote team focused on advancing generative AI and LLM-driven solutions for a regulated Finance & Insurance landscape. You will set technical standards, guide model development, and partner with validation and compliance to translate AI capabilities into practical outcomes.

The ideal candidate will strengthen AI ethics, ensure scalable performance, and drive responsible deployment while collaborating with business and technology