M.Sc. · MBA · CPA · CMA · Toronto
Data leadership for companies in transition.
Global Director, Analytics, AI & Data Transformation at Dye & Durham. Twenty years leading data, AI, and governance across financial services, biotech, SaaS, and legal tech, with more than $50M in measured impact, much of it delivered mid‑acquisition, mid‑audit, or mid‑migration.
Track record
Two decades, measured in outcomes.
Every role below is entered the way I keep my own books: the organization, the mandate, and the number it produced. Open a row for the detail.
Architected the organization's first enterprise‑grade Databricks lakehouse on AWS: Medallion architecture, Unity Catalog governance, Terraform infrastructure‑as‑code, and GitHub CI/CD across Dev, QA, and Production. Established governance‑by‑design across metadata, lineage, access controls, and privacy compliance, introduced AI governance for enterprise LLM initiatives, and unified previously siloed data, analytics, and AI teams into one operating model spanning Canada, the UK, the US, and India.
Led enterprise analytics, AI, and data modernization across Finance, HR, Procurement, and Operations, delivering roughly $50M in recurring savings through automation, AI enablement, and enterprise data products. Cut data‑issue resolution from 40 days to 2, and directed the data and systems integration behind the Monsanto acquisition and BASF divestiture.
Directed a McKinsey‑led enterprise transformation across five continents, modernizing finance and analytics with scalable governance and reporting frameworks and delivering over $1M in recurring operational savings.
Implemented a DMAIC‑based data governance framework across 80+ PMOs and delivered roughly $10M in annual savings through KPI‑driven technology portfolio analytics and early deviation detection. Recipient of the Executive Innovation Award.
Built 10+ enterprise transformation business cases delivering 25% ROI on a $30M strategic investment portfolio, improving EBITDA performance through analytics‑driven planning, forecasting, and operational controls.
Post‑acquisition integration and audit readiness at RBC Investor & Treasury Services, SOX governance and automation platforms at Scotia Capital, and revenue analytics and portfolio modeling at Moneris. The years where the finance instincts were earned.
Plenty of leaders can build a data platform. Plenty can read a P&L. Very few can do both at once, in the middle of a deal, an audit, and a migration. That intersection is where I work.
Capabilities
What I bring.
Commercial instinct, technical depth, and the leadership to make data and AI deliver at scale.
Enterprise data platforms
Lakehouse architecture on Databricks, Snowflake, and Microsoft Fabric across AWS and Azure. Unity Catalog governance, Terraform infrastructure‑as‑code, and CI/CD delivery built to pass an audit, not just a demo.
AI & advanced analytics
LLM‑enabled solutions, predictive analytics, and agentic patterns with human‑in‑the‑loop safeguards, lifecycle traceability, and cost governance. Governed AI that ships.
Finance‑grade discipline
CPA‑trained. ROI and TCO modeling, board‑ready business cases, and SOC 2, GDPR, ISO 27001, and SOX alignment designed into the data layer from day one.
Deals & transformation
M&A, carve‑outs, and post‑close integration, from the Monsanto acquisition and BASF divestiture to private‑equity transformations. Numbers that stay trustworthy while the org chart changes.
Tooling Databricks · Snowflake · Microsoft Fabric · AWS · Azure · SAP · Terraform · GitHub CI/CD · Power BI · SQL Server
Selected figures
Results leadership can measure.
A track record of turning data and AI into numbers that survive a finance review.
Contact
Let's build what's next.
I speak and advise on enterprise AI, governance, and data transformation, and I'm always glad to compare notes with leaders working through the same problems. For speaking, panels, or advisory conversations, reach out.