AI ML Modeling Lead

We are seeking a Senior Modeling Lead to provide strategic and technical oversight across multiple AI/ML workstreams. 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.

Key Responsibilities

· Provide strategic and technical leadership across multiple AI/ML modeling workstreams, ensuring alignment with business

· Oversee full model lifecycle across all workstreams — 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.

Qualifications & Experience

· 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.