Artificial Intelligence

• Lead enterprise-wide adoption of AI agents and define vendor partner ecosystem strategies
• Develop and execute a comprehensive Agentic AI strategy aligned with business objectives
• Drive full lifecycle of AI products from research to production deployment and build scalable infrastructure and deployment pipelines
• Partner with product, engineering, and business teams to identify high-impact AI opportunities and integrate agents into workflows and customer channels
• Establish best practices for model development, evaluation, monitoring, governance, and operational readiness
• Build assessment frameworks for agent adoption including utility, ROI, and risk evaluation
• Manage vendor relationships and ensure partner solutions align with enterprise architecture, technology, and compliance standards
• Drive change leadership, awareness, education, playbooks, and enterprise adoption of agentic AI solutions

Managing Director – Agentic AI Adoption and Integration

Risk & Business Governance Program Lead – Data, Privacy, AI

Head Global Quality – Digital Health, Artificial Intelligence Compliance

Patent Engineer – AI/ML, Kernel & High-Performance Compute

Patent Engineer – AI/ML, Kernel & High-Performance Compute

AI Catalyst