Strong governance and high-quality data are essential for dependable analytics and AI. I design and implement governance structures and quality programs that establish transparency, strengthen compliance, and ensure data accuracy across the enterprise.

What I provide:

• Enterprise governance frameworks and operating models

• Metadata, lineage, cataloging, and classification

• Data quality monitoring strategies and dashboards

• Stewardship standards and accountability models

• Regulatory alignment for AI, privacy, and data controls

Organizations adopting AI face growing expectations around compliance, transparency, and ethical operations. I help teams navigate these challenges with structured governance processes and risk controls grounded in federal and industry frameworks.

What I provide:

• NIST AI RMF and OMB-24-10 operationalization

• AI governance policies, workflows, and intake processes

• Risk scoring, control mapping, and oversight models

• Transparency, documentation, and audit readiness

• Guidance for responsible, compliant AI implementation

With a background in quality engineering and auditing, I help organizations improve operations, strengthen compliance, and create sustainable processes that reduce variation and risk.

What I provide:

• Lean Six Sigma–based process improvement

• Data and operational audits

• Quality management system assessments (AS9100, ISO 9001, ISO 8000)

• Root cause analysis and corrective action planning

• Risk assessments and internal control evaluations

I support organizations, universities, and professional communities by building data literacy and helping teams understand modern data and AI practices.

What I provide:

• Curriculum development for data and analytics programs

• Graduate-level instruction in data management and analytics

• Corporate workshops and training programs

• Guest lectures, panels, and educational partnerships