Data & AI leader with 20+ years turning complex datasets into strategic insights across healthcare, pensions, and financial services.

I'm an analytics and AI leader based in Ontario, Canada, with over two decades of experience across Canadian financial services, pensions, and healthcare. I specialize in data strategy, Microsoft Fabric implementation, Azure data pipelines, and predictive modeling — always with the goal of turning complex data into insights that drive real outcomes.
Currently, I lead health data and analytics at Collingwood General & Marine Hospital, where I oversee the Health Information Management department and have modernized our data infrastructure with Microsoft Fabric, medallion architecture, and a shift toward proactive, Agile data product delivery.
Previously, I spent over a decade at HOOPP, progressing from BI analyst to senior management, where I launched nationally recognized research programs and built enterprise analytics capabilities. I hold a Master of Management Analytics (ML/AI specialization) from Queen's University, Smith School of Business.
From infrastructure to insights — the technologies and disciplines I work with daily.
Enterprise data architecture on Microsoft and Azure.
Dashboards, semantic models, and executive-level storytelling.
Pipelines, dimensional modeling, and data integration.
Predictive modeling, NLP, and applied AI for business value.
Data governance frameworks, strategy, and quality programs.
Team management, stakeholder engagement, and Agile delivery.
20+ years across banking, pensions, non-profit, and healthcare.
Lead the Health Information Management department (Health Records, Health Coding, BI & Analytics). Authored enterprise Data and AI strategy, implemented Microsoft Fabric with medallion architecture, and transformed the team to Agile product delivery using Azure DevOps.
Led BI, data science, and IT operations. Built Azure data pipelines from Blackbaud systems, oversaw database consolidation saving $300K over three years, and migrated telephony to Microsoft Teams for $60K in annual savings.
Delivered strategic analytics for the COO, Executive team, and Board. Maintained Azure Data Warehouse, Power BI workspaces, and Jupyter predictive models. Presented HOOPP's Economic Footprint report to government stakeholders.
Led thought leadership and market research. Launched the Canadian Retirement Survey (with Abacus Data) generating $50M+ in ad-value media coverage. Drove an organization-wide data community of practice.
Managed a team of analysts and BI developers. Built analytics solutions on SQL Server (SSMS, SSIS, SSAS). Led BI platform implementation, managed $160M monthly pension payroll reporting, and delivered analyses affecting 350,000+ members.
Developed KPIs and management dashboards. Progressed from client-facing banking roles to business analysis, building a foundation in data reporting and financial services.
Key initiatives I've led across healthcare, analytics, and data engineering.
End-to-end implementation of Microsoft Fabric at CGMH with medallion architecture, semantic models, and data transformations unifying relational databases, REST APIs, flat files, and SharePoint.
Launched a nationally recognized research program with Abacus Data that generated $50M+ in ad-value media coverage across Canadian and international outlets. Now in its fourth year of tracking.
Built automated Azure data pipelines from Blackbaud's Raiser's Edge, Financial Edge, and Luminate Online (via SKY API) to Azure SQL Server and Data Lake at Sinai Health Foundation.
As Chief Data Officer for Queen's University Alternate Asset Fund, delivered a web-based portfolio modeling tool with Azure DevOps CI/CD and managed an analytics team across three verticals.
Led the research whitepaper series at HOOPP (with Common Wealth) exploring how workplace retirement plans create value for employers — including talent attraction, reduced financial stress, and improved compensation efficiency. Featured at the Empire Club of Canada.
Supporting non-profits with pro bono data expertise since November 2025.
Managed analytics team across Advanced Analytics, Predictive Modelling, and Special Projects (2022–2023).
Managing finances, budgets, forecasts, and building BI solutions for the executive team since 2021.
Whether you're interested in collaborating on a data project, discussing healthcare analytics, or just want to chat — I'd love to hear from you.