Susan Stranburg
Senior Manager, Data Science @PwC
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WORK HISTORY
Senior Manager, Data Science @PwC
New York, NY, US
Strategic Research Leadership: Direct research and development for cutting-edge AI model evaluation methodologies, including semantic entropy, HallBayes, bias analysis, Reinforcement Learning with Human Feedback (RLHF), hallucination detection, and observability frameworks. • Client Service Delivery: Lead and manage the delivery of specialized data science and AI services for financial services clients, focusing on stringent model validation projects that ensure regulatory compliance and robust performance. • Team Development & Management: Act as the development leader for a team of seven data scientists and AI engineers, responsible for mentoring, performance management, skill development, and project assignment. • Internal AI Implementation: Oversee the AI agent-based implementation of advanced model evaluation services for internal PwC use cases, driving significant operational efficiency and scalability in service delivery. • Technical Oversight: Provide deep technical expertise and project oversight across all phases of the AI/ML lifecycle, ensuring the application of best practices in statistical rigor and engineering integrity.
EDUCATION
Trinity College Dublin
Faculty of Systems Sciences, Computer Science
Susquehanna University
BS, Computer Science, Mathematics
Statistics.com
Program in Analytics and Statistical Studies Certificate, Data Mining
SKILLS
ABOUT SUSAN STRANBURG
Highly accomplished and results-oriented Senior Manager of Data Science with 17 years of dedicated experience at PwC, specializing in the intersection of advanced AI research and financial services model validation. Expert in leading and delivering critical AI engineering and data science initiatives, managing high-performing technical teams, and pioneering research across AI model evaluation, bias analysis, and large language model (LLM) governance. Proven ability to translate complex statistical concepts into commercially viable client solutions and internal operational efficiencies.
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