Manufacturing
Enterprise Data and AI strategy, governed portfolios, Microsoft Fabric data products, responsible-AI guardrails, adoption and operational use cases across mills and corporate functions.
Kruger
Clients & industries
Nearly 30 years across 45+ companies have taken me from publishing platforms and enterprise mobility to connected vessels, manufacturing data products and responsible AI.
I have worked as an executive, consultant, founder, product builder, technology buyer, advisor and teacher. That range helps me recognize patterns quickly—without losing respect for what makes each industry and organization different.


Industries & organizations
Each industry sharpened a different part of my judgment. Together, they taught me how to connect strategy, technology, ownership, adoption and evidence in organizations with very different economics and constraints.
Enterprise Data and AI strategy, governed portfolios, Microsoft Fabric data products, responsible-AI guardrails, adoption and operational use cases across mills and corporate functions.
Kruger
Global IT and digital operations, vessel and shore connectivity, IoT, digital twins, ETA prediction, voyage optimization, cybersecurity and data-sharing standards.
Canada Steamship Lines
Dealer technology, vehicle marketplaces, multi-source data aggregation, digital products, e-commerce and platforms serving 1,300+ dealers and more than two million monthly users.
Groupe HGrégoire, Xprima / Auto123.com, Vicimus, V10 Data, Canadian Black Book, Kia, Hyundai, Bumper, GloveBox
Connectivity, infrastructure, managed services and international technology ecosystems—from early enterprise mobile middleware to scalable digital platforms.
Orange / France Telecom, Deutsche Telekom, Bell Mobility, Openface Internet, FibreNoire, Etelesolv / Cimpl, SOS Médecins
Digital publishing, content operations, e-commerce, consumer experiences and the transition from print-era processes to scalable digital delivery—where usability, reliability and brand trust are inseparable.
Tim Hortons, Canon Canada, TC Media, Cyberpresse.ca, Canadian Living, ELLE Canada, ELLE Québec, Publisac, Protégez-Vous, Les Affaires, Coup de Pouce, Homes & Gardens, Visions Electronics, Portable North Pole
Enterprise software, commercial data products, technology strategy, architecture, cloud, cybersecurity, vendor ecosystems and digital-delivery operating models.
Capgemini, Valtech, Evolio, Adviso, Feeling Software, Groupe LSR, ACASS, Gray Agency, CoreTech International, Converde, Collins
Technology and investment environments where risk, governance, credible economics and organizational capacity must support the recommendation.
AXA, Euroequities Private Capital
Eight years teaching technology entrepreneurship, plus mentoring and advisory work across academic, entrepreneurial, community and non-profit environments.
HEC Montréal, Polytechnique Montréal, Entrepreneurs’ Organization, SDC, Just Fundraising, Challen Saxby Partners, FGT
The names above represent different relationships across my career—including executive roles, ventures, advisory clients, product customers, commercial partners and professional ecosystems. Inclusion does not imply endorsement.
Depth behind the breadth
Created a 10-part Data and AI strategy, governance model, investment portfolio, data-product foundation, responsible-AI lifecycle and adoption system for a diversified manufacturer.
See the Kruger caseLed broad IT and digital accountability while advancing ETA prediction, digital twins, voyage optimization, IoT-scale data and secure maritime collaboration.
See the CSL caseBuilt data-enabled products and platforms spanning vehicle information, dealer operations, marketplaces and consumer experiences at national scale.
See the automotive caseWhat breadth changes
I know how to enter a new environment without assuming it is identical to one I have seen before. I begin with the operating model, critical decisions, economics, constraints and people closest to the work.
Experience helps me identify the structural problem beneath the technology question, translate across executive and specialist perspectives, and test whether a recommendation can actually be funded, adopted, governed and sustained.
The result is practical pattern recognition: lessons from many environments applied with humility to the one in front of us.
Bring the context