Sets the technical vision for data science, leads complex statistical and machine learning initiatives from concept through production, and architects scalable modeling ecosystems for credit risk, pricing, and loss forecasting. The role partners with senior leaders, establishes model development standards, builds monitoring frameworks, mentors technical talent, and communicates strategy to executives. Key responsibilities include production deployment, model validation, roadmap development, and delivering measurable business impact across financial services.

Architect and develop backend systems, APIs, tools, and agents that integrate foundational AI models into scalable business solutions. Build AI workflows, automation, data pipelines, experimentation frameworks, and integrations across AWS, Snowflake, microservices, and complex technology stacks. Collaborate with product, data science, and frontend teams to prototype and deploy AI capabilities while evaluating emerging frameworks, documenting designs, and considering reliability, privacy, and responsible AI.

Lead end-to-end data science initiatives including designing, deploying, and monitoring production ML models for credit risk, pricing, collections, and fraud. Partner cross-functionally to integrate models, set development standards, mentor team members, and maintain production pipelines and monitoring systems to drive measurable business impact.