Suzannah Hicks

Designed and executed an enterprise-wide AI strategy to accelerate service delivery, enhance patient access, and embed AI into daily operations across departments. Led the successful pilot and enterprise rollout of ChatGPT, delivering a 6+ hour/week time savings per user and driving measurable productivity and knowledge-sharing improvements across 50+ teams.

Designed and taught a doctoral-level Business Intelligence course, integrating enterprise AI strategy, analytics adoption frameworks, and ethical considerations in data use. Bridged academic theory and industry application by embedding real-world examples from AI transformation initiatives, including generative AI and automation in services and healthcare.

Led enterprise data and AI strategy focused on reducing operational friction, scaling automation, and accelerating insight-to-execution timelines across services and delivery operations. Piloted Microsoft Copilot and GenAI tools to evaluate productivity gains, readiness for enterprise-scale adoption, and impact on time-to-value across implementation cycles.

Built the organization’s data and analytics function from the ground up, leading enterprise strategy, team development, and analytics infrastructure in support of global privacy compliance and service innovation. Led the creation of a privacy-aligned data culture, embedding Privacy-by-Design into all analytics, infrastructure, and reporting workflows through close collaboration with legal and comp

Completed a doctoral program with a focus on Organizational Development. The dissertation explored the adoption of an organizational data culture, applying Diffusion of Innovation to drive change.

Obtained a Master of Science degree in Analytics and Data Science. Developed expertise in data analysis, statistical modeling, and data visualization techniques.

Earned a Bachelor of Arts degree in History. Developed strong research, analytical, and critical thinking skills.