Senior Modeling Lead; AI​/ML

Experience: 10+ Years

At least 3 years in a team leadership or senior technical lead capacity

Domian:
Insurance Highly Preferred

We are seeking a Senior Modeling Lead to provide strategic and technical oversight across multiple AI/ML work streams. In this role, you will direct a team of data scientists / modelers through full model development lifecycle, ensure consistency in modeling standards and governance practices, and serve as primary liaison between technical teams and senior stakeholders. Ideal candidate brings 9-10+ years of modeling experience and a proven ability to operate effectively at both strategic and technical levels.

• Provide strategic and technical leadership across multiple AI/ML modeling work streams, ensuring alignment with business
• Oversee full model lifecycle across all work streams — including development, validation, independent assessment, performance optimization, monitoring, documentation, and governance
• Establish and enforce consistent modeling standards, methodology frameworks, explainability practices, and bias testing protocols across team
• Act as a primary escalation point for model risk, governance issues, technical challenges, partnering with risk, compliance as needed
• Lead model review and approval processes, ensuring all models meet internal governance requirements and applicable regulatory standards
• Translate complex modeling outcomes and technical findings into clear, actionable insights for executive and non-technical stakeholders
• Drive evaluation and adoption of emerging AI/ML tools, platforms, and methodologies, providing evidence-based recommendations to leadership
• Recruit, mentor, and develop a high-performing team of senior and mid-level modelers, fostering a culture of technical rigor and continuous improvement
• Define team's long-term analytical roadmap, balancing innovation with BAU delivery
• Collaborate cross-functionally with data engineering, technology, operations, and business teams to align modeling solutions with broader organizational objectives

• 10+ years of progressive experience in quantitative modeling, data science, or applied AI/ML, with at least 3 years in a team leadership or senior technical lead capacity
• Broad expertise across multiple modeling domains, such as predictive analytics, NLP, optimization, or AI platform evaluation
• Strong proficiency in Python; familiarity with modern AI/ML frameworks, MLOps tooling, and large-scale data platforms
• Deep understanding of end-to-end model lifecycle, including model risk management, validation frameworks, and regulatory expectations
• Proven ability to lead and develop cross-functional modeling teams in a fast-paced, delivery-oriented environment
• Experience engaging with model risk, audit, compliance, or regulatory stakeholders, and navigating governance and approval processes
• Exceptional communication skills & ability to present complex technical concepts clearly to stakeholders
• Track record of driving adoption of emerging AI/ML technologies in a structured manner
• Advanced degree (Master’s or PhD) in Statistics, Computer Science, Mathematics, Data Science, or a related quantitative discipline preferred