John Moran

About John Moran

A strategic Data Governance and Data Quality leader with a proven track record of driving data integrity, compliance, and operational excellence at Fortune 500 companies. I specialize in designing and executing enterprise-wide data governance strategies, implementing data quality frameworks, and enabling risk mitigation through robust data management, AI governance, and regulatory compliance.With extensive experience in building and leading Data Governance Councils, I collaborate with executives and business leaders to establish governance policies, stewardship models, and data quality initiatives that drive trusted, high-value data assets across organizations. I am currently leading the effort to embed data governance principles into AI development, ensuring ethical, transparent, and compliant innovation. Working closely with cross-functional teams and external consultants, my team is establishing governance frameworks that promote responsible AI practices, regulatory alignment, and risk mitigation.A recognized thought leader and speaker, I have built and led global teams, delivering measurable impact—enhancing data quality, enabling AI governance, driving cost efficiencies, and ensuring regulatory compliance through innovative governance strategies.Core Expertise:Enterprise Data Governance | Data Quality Management | AI & Automation Governance | Risk & Compliance | Data Strategy & Architecture | Master Data Management | Data Stewardship | Cross-Functional LeadershipCertifications:Certified Data Governance & DG Capabilities Assessment Model | Lean Six Sigma Black Belt (GE)Industry Experience:25 years in Finance, Software, and Life Sciences, including 17 years in Life SciencesLeadership & Communication:Founding member & 10-year Toastmaster (ACB)

Experience

1. Senior Director, Governance of Automation, Ai and Data

   Thermo Fisher Scientific

   Sep 2024 — Present

   Lead enterprise-wide initiatives to strengthen data governance, automation, and responsible AI governance. Develop and enforce governance frameworks that ensure operational excellence, ethical AI practices, and stakeholder trust.• Develop and implement Data Quality Scorecards for business-critical data across divisions, ensuring accuracy and consistency.• Conduct business and data readiness assessments for AI use cases to support responsible AI adoption.• Strengthen data governance within the Data Catalog, prioritizing high-value datasets for improved visibility and control.• Close governance gaps by defining roles, responsibilities, and compliance measures for privacy, security, and data protection regulations.• Design governance frameworks that include standards, guidelines, ethics training, and tools to vet AI solutions while maintaining an AI registry for transparency.

Education

• Santa Clara University

  BS

• University of Portland

  MBA

Skills

• Product Management
• Analytical Skills
• Customer Experience
• Integration
• Business Process Improvement
• Leadership
• Business Process
• Business Case
• Six Sigma
• Product Marketing
• Change Management
• Management
• Project Management
• Testing
• Process Improvement
• Product Development
• Cross-Functional Team Leadership
• Corporate Development
• Strategy
• E-Commerce