Senior Manager - Data & Ai
Current° Led 15 direct reports across AI, data engineering, and analytics teams. Owned global AI/ML vision for a SaaS fintech company, fostering innovation and delivering tangible business value and growth.° Reported to VP of Data and AI, strategizing on team scaling, growth opportunities, and new team creation based on proposed plans.° Reduced ML model deployment time from 10 months to one month. Scaled AI platform team from two to five engineers, establishing modular architecture with robust preprocessing and feature engineering pipelines.° Built and led generative AI platform team from scratch, achieving significant new revenue within 8 months. Developed innovative AI solutions to solve complex problems and improve operational efficiencies for financial institutions.° Influenced key stakeholders on critical architectural and infrastructural decisions, ensuring successful deployment and maintenance of data science deliverables including models, algorithms, and data pipelines.° Secured executive buy-in and funding for enterprise generative AI platform. Partnered with C-suite to align with business strategy, identify key initiatives, and disseminate project roadmaps.° Executed vision for generative AI platform, improving efficiency and customer satisfaction. Ensured ethical standards and compliance in BI solutions automating frontline tasks.° Coached four engineers in ML best practices and emerging technologies (NLP, LLMs, neural networks). Guided AI framework design using AWS SageMaker, Databricks, CI/CD pipelines, and MLFlow.° Integrated AI models and ML algorithms into existing workflows through cross-team collaboration. Reduced 10-month workload to one month by streamlining processes and enabling internal platform use across banking systems.