I help organizations turn complex, fragmented data into trusted information, stronger decisions & scalable capabilities.
Enterprise data strategy and transformation executive with 20+ years of experience building data organizations across healthcare, technology, financial services, and regulated environments. I combine regulatory-grade governance expertise with hands-on leadership in data strategy, governance, MDM, data quality, and AI-ready data foundations.
Most recently, I built HealthEquity’s enterprise Data Governance capability from the ground up, securing $3M+ in funding and establishing MDM, data quality, cataloging, and governance operations. Previously, I built and led a 40+ person global data organization at Splunk and held senior data leadership roles at Equinix, Bank of the West, and GE Capital.
I advise organizations on turning complex, fragmented data into a trusted business asset that enables better decisions, efficiency, and growth.
I offer one-hour, one-on-one conversations for data and technology leaders who want an experienced outside perspective on a challenge they’re facing. Bring a question, a situation, an idea—or simply something you’re trying to figure out. * Data governance and data management * Data strategy and operating models * Data quality and MDM * Data architecture and analytics * Building and scaling data organizations * Working with executive stakeholders * Data leadership and career decisions
Bring me a specific data challenge, decision or question. We’ll use a focused 60-minute session to: * Clarify the problem and desired outcome * Assess your current approach * Identify key risks, gaps and considerations * Explore practical alternatives * Define concrete next steps Typical topics include data governance, data strategy, data quality, MDM, data architecture, data products, analytics, AI readiness and data governance technology.
For complex or consequential decisions, I’ll review relevant materials in advance and come prepared to provide a deeper executive-level assessment. * Evaluating data governance or data strategy * Reviewing a proposed technology investment or vendor selection * Assessing a data governance operating model * Designing a data quality or MDM approach * Diagnosing why an existing data initiative isn’t delivering results * Preparing for an executive decision involving data, analytics or governance