Senior AI / ML Modeling Lead

About the Role

I am working with a client looking for a Senior AI/ML Modeling Lead to provide both strategic direction and hands-on oversight across a range of AI/ML initiatives. This individual will guide a team of data scientists and modelers through the end-to-end model lifecycle, promote consistency in modeling practices, and act as a key bridge between technical teams and senior stakeholders.

The ideal candidate brings 9+ years of experience and is comfortable operating across both high-level strategy and detailed technical execution.

Key Responsibilities

• Provide leadership across multiple AI/ML modeling initiatives, ensuring efforts are aligned with broader business priorities
• Oversee models from development through deployment and ongoing monitoring, including performance evaluation, documentation, and maintenance
• Define and uphold standards around modeling approaches, validation techniques, and model transparency
• Partner with cross-functional teams (including risk, compliance, and technology) to address challenges related to model quality and governance
• Support internal review processes to ensure models meet established standards and expectations
• Communicate technical findings and model outcomes to non-technical and executive audiences in a clear, actionable way
• Evaluate emerging tools, techniques, and approaches within AI/ML and recommend adoption where appropriate
• Manage, mentor, and grow a team of modelers, fostering strong technical capability and collaborative culture
• Contribute to longer-term planning and prioritization of modeling and analytics initiatives
• Work closely with partners across data, engineering, and business teams to deliver impactful solutions

Qualifications & Experience

• 9+ years of experience in quantitative modeling, data science, or machine learning, with prior leadership or team oversight experience
• Exposure to a variety of modeling approaches, such as predictive modeling, NLP, or optimization techniques
• Strong programming experience in Python and familiarity with modern ML tools and data environments
• Understanding of model lifecycle considerations, including validation, monitoring, and performance management
• Experience working in environments with structured review, risk, or governance processes
• Demonstrated ability to lead teams and collaborate across functions in fast-paced settings
• Strong communication skills with the ability to present complex concepts clearly
• Track record of evaluating and implementing new tools or methodologies
• Advanced degree in a quantitative discipline preferred