For 20+ years, I’ve specialized in Growth & Market Intelligence—building the insight frameworks that help leadership teams make confident decisions about customers, competition, and investment priorities.
I don’t just analyze data. I design the intelligence layer that tells you who your most valuable customers really are, where hidden market opportunities exist, and which investments will actually drive growth.
I’ve spent my career inside and alongside complex organizations—manufacturing, telecom, CPG, cannabis, financial services—helping leadership teams cut through noise to find signal.
My background spans Engineering (PUC-Rio), an MBA from McGill, and executive roles in FP&A, Strategy, Market Intelligence, and Chief of Staff functions. I’ve led teams across Aurora Cannabis, PwC, Aeroplan, and Brazil’s largest telco—always focused on the same question:
How do we turn customer and market data into decisions that actually compound value?
Today, I work independently with growth operators who need that same intelligence clarity—without the enterprise complexity.
What fuels me is seeing patterns others miss. The hidden customer segments. The market signals everyone’s ignoring. The investment opportunities buried in operational data.
Most organizations drown in dashboards but starve for insight. They have the data—they just don’t have the intelligence architecture that connects it to decisions.
That’s what I design: the frameworks that tell you who to target, where to invest, and what’s actually happening in your market—not just what your surveys say.
I’m drawn to operators who think in systems, who understand that sustainable growth comes from knowing more than your competitors, faster than they can react.
I design what questions to ask and how to answer them. The dashboards and models are byproducts of the intelligence architecture—not the main deliverable.
Real intelligence lives at the intersection of customer behavior, market dynamics, and financial performance. I connect dots across marketing, finance, and operations.
Every framework I design answers a specific business question: Who should we target? Where should we invest? What's changing in our market? No vanity metrics.
I've been in the seat—Chief of Staff reporting to CEOs, leading FP&A teams, managing strategic partnerships. I know what intelligence operators actually need.
We're in an interesting moment. Most companies have more data than ever—but they're making decisions with less confidence.
Why? Because they're optimizing the wrong layer. They're building dashboards when they need intelligence architecture. They're measuring clicks when they should be understanding behavior. They're surveying 5% of customers when the other 95% are already telling them everything through their actions.
The organizations that win aren't the ones with the most data. They're the ones with the best intelligence design.
That's what I help operators build—whether you're a CMO trying to prove marketing ROI, a CFO needing better forecasting models, or a COO connecting operational metrics to strategic outcomes.
The common thread? You need intelligence that drives decisions, not just reports that describe what happened.
If you're making growth decisions without the customer, market, and competitive intelligence you need—let's fix that.
Start a ConversationMigrated Net Revenue reporting from manual Excel chaos to single-source automated BI. Finance team went from spreadsheet archaeology to real-time forecasting accuracy.
Designed SKU-level competitive intelligence dashboard integrating internal sales, external market data, and syndicated retail tracking. Sales teams stopped guessing started targeting untapped demand.
Orchestrated cross-functional profitability push that bridged $5M+ to bottom line. Weekly executive meetings kept revenue leaders aligned on pipeline priorities and cost-reduction opportunities.
Transformed analytics process for six financial services loyalty clients. Teams went from drowning in manual report generation to delivering twice the strategic insights in one-fifth the time.
Built dynamic market forecast by month and region across medical and retail channels. Weekly revisions incorporated regulatory changes and pandemic impacts—leadership had confidence to commit capital.
Built first household-level demand forecasting model covering 15M households. Guided $400M in broadband infrastructure rollout—increasing internet client base by 20% through targeted deployment.
Designed automated executive dashboard linking sales, profitability, and competitive intelligence across multiple data sources. Board meetings transformed from data debates to strategy decisions.












