Executive Data Quality Playbook

Dr. Sheik M. Isaacs is an enterprise data quality and AI governance executive with 23+ years of leadership in regulated financial services. His data quality experience spans three distinct enterprise roles at a global financial institution. As Director of Data Governance & AI Transformation, he led the design and deployment of data quality controls across the enterprise—embedding governance standards into high-impact business processes and mitigating data risk at scale. As a Data Tracing Quality Manager, he directed end-to-end data quality operations including data profiling, source comparison, and quality assessment across critical management and regulatory reports. And as a Data Analytics Manager in Internal Audit, he led the Business Intelligence and Analytics team to build enterprise risk-monitoring dashboards, producing data quality reporting delivered directly to board audit committees and senior leadership. Complementing his corporate leadership with graduate-level teaching and curriculum design, Dr. Isaacs brings his deep practitioner expertise to graduate classrooms—designing and teaching courses in AI Ethics & Privacy, Data Analytics, Data Governance, and AI-Optimized Business Operations. An expert in agentic AI architectures and advanced prompt engineering, he actively deploys frontier AI platforms to drive measurable productivity gains across complex governance workflows. He holds a Doctor of Business Administration from Walden University, five CIMP certifications spanning Data Quality, Data Governance, Data Modeling, Metadata Management, and Master Data Management, a Lean Six Sigma Black Belt, and a Certified Scrum Master (CSM) and Certified Product Owner (CPO) designation.