Academic & Career Exeperience

* 18+ years of international leadership experience driving digital transformation, operational excellence, technology strategy, and organizational performance across robotics, pharmaceuticals, aerospace, manufacturing, and other highly regulated environments.

* Directed a $1.3B global digital transformation portfolio spanning seven international sites across five continents, leveraging predictive analytics, workflow automation, and digital technologies to reduce project delivery timelines by 35% and generate approximately $180M in savings.

* Built enterprise business intelligence and performance measurement capabilities that connected workforce investments to utilization, engagement, and business outcomes—providing the insights needed to optimize the portfolio, eliminate duplicative services, and generate $1.1M in cost savings.

* Led technology-enabled process transformation across complex operating environments, redesigning workflows and introducing automation, analytics, and digital solutions to improve productivity, execution consistency, visibility, and organizational capacity.

* Designed and deployed AI-powered solutions with broad organizational adoption, including tools that helped bridge workforce capability gaps, strengthen project execution, and improve access to institutional knowledge—with adoption reaching 72% across target users.

* Led enterprise AI adoption and Responsible AI initiatives, partnering across executive, engineering, and business teams to establish practical governance, accelerate responsible adoption, and integrate AI into existing operating environments.

* Built and led high-performing, cross-functional teams in complex, fast-paced environments, establishing strategy, strengthening accountability, developing organizational capability, and aligning people and resources around shared business priorities.

* Applied data-driven portfolio and resource management to improve enterprise performance, using business intelligence, capacity insights, ROI measurement, and performance metrics to inform investment decisions and direct resources toward higher-value opportunities.

* Led global modernization and compliance enablement initiatives across the U.S., U.K., and EU, integrating AI/ML, cloud architecture, automation, and governance while reducing manual audit effort by 70% and increasing operational transparency.

* Brings deep Responsible AI, technology risk, privacy, and governance expertise as a strategic complement to transformation leadership, including experience applying the EU AI Act, NIST AI Risk Management Framework, ISO/IEC 42001, ISO/IEC 27701, and ISO/IEC 27001 in complex enterprise environments.

* Author of The AI Profitability Gap, focused on closing the gap between enterprise AI investment and measurable business value through stronger strategy, operational execution, adoption, and governance.

* Guest Lecturer at George Washington University, translating emerging AI, technology, governance, and business challenges into practical, real-world insights for academic audiences.

* D.C. Bar Faculty Member, developing and teaching accredited continuing legal education on emerging AI and technology risks. Courses include AI, Privilege & Discovery in the Age of Generative Tools: What Every D.C. Attorney Needs to Know Now and Where AI Quietly Violates Civil Rights: Detecting Algorithmic Discrimination in Modern Systems.

* Executive advisor, educator, and speaker on digital transformation, AI strategy, Responsible AI, governance, and enterprise performance for corporate, public-sector, legal, and academic audiences.