Founder & builder
Built and sold two technology companies: distributed IT services and enterprise mobile middleware. Learned product, sales, delivery, financing, hiring and the discipline of making technology commercially useful.
Data & AI Executive · CIO/CTO · Entrepreneur · Consulting Advisor
I turn Data and AI ambition into enterprise value.
I help consulting firms strengthen pursuits, lead complex engagements and create reusable intellectual capital. I also take on executive roles where organizations need an experienced leader who can connect strategy, technology, people and measurable outcomes.
Open to consulting-firm leadership and collaboration, executive opportunities, strategic advisory and speaking.
Strategy is useful when it changes what an organization can do.Jean Fahmy · Montréal, Canada
~30Years in technology & transformation
3Technology businesses founded & sold
40+Organizations advised
EN · FRFully bilingual
Three decades across technology cycles
I have watched the tools change. The hard organizational questions endure.
My career began before cloud platforms, smartphones and generative AI. I have worked through enterprise internet, mobility, digital publishing, e-commerce, cloud, cybersecurity, data platforms, IoT, digital twins, machine learning and enterprise AI.
Teacher & mentor
Taught Technology Entrepreneurship for eight years while advising leaders and founders. Learned to make complex ideas understandable, test assumptions and help others build their own judgment.
Digital & enterprise leader
Led automotive, media, data and digital platforms—including products serving 1,300+ dealers and more than two million monthly users, and technology leadership across a $2B automotive group with 30+ brands.
Industrial transformation
Led IT and Digital at Canada Steamship Lines across applications, infrastructure, connectivity, cybersecurity, architecture, data, IoT, optimization and AI in a global, asset-intensive environment.
Enterprise Data & AI
Created the strategy, governance, portfolio, data-product foundation, responsible-AI guardrails and adoption system required to move a diversified manufacturer from fragmented demand toward responsible enterprise scale.
Pattern recognition
I can connect a new technology to old operating truths: ownership, architecture, incentives, trust, adoption, economics and the realities of how work actually gets done.
Core proposition
Technology creates value only when people trust it, adopt it and use it.
Data and AI transformations fail when strategy, data, technology, governance, adoption and ownership are treated as separate problems. My work connects them.
Set direction
Define the ambition, target state, priorities, roadmap and executive decisions.
Build foundations
Create governed data products, shared definitions and reusable architecture.
Industrialize AI
Move beyond demonstrations with ownership, controls and production discipline.
Mobilize adoption
Build the literacy, communities and leadership habits that make capability stick.
Prove value
Connect investment to outcomes and evidence without overstating what occurred.
What experience changes
Pattern recognition is the value.
Thirty years does not mean having seen every problem. It means recognizing familiar failure modes early enough to change the outcome.
Data problems are often ownership problems
When definitions, accountability and decision rights are unclear, another platform rarely creates trust. I look for the operating issue beneath the technical symptom.
Pilots fail at the interfaces
The difficult work sits between business and technology, innovation and risk, model and workflow, sponsor and user. I design those interfaces deliberately.
Architecture must survive contact with delivery
A target state matters only if teams can build, secure, operate, fund and adopt it. I balance integrity with practical sequencing.
Vendor promise needs enterprise translation
I have bought, built, sold and operated technology. That helps separate product capability from implementation effort, organizational fit and total operating consequence.
Change is part of the product
Communication alone does not create adoption. People need meaningful ownership, redesigned workflows, capability, incentives and evidence that the new way works.
Value needs a baseline and an owner
Forecast, enabled value, validated outcome and realized benefit are different claims. I make the distinction visible before enthusiasm becomes overstatement.
Two ways I contribute
Operator experience, applied where it matters.
I have commissioned consulting work, advised clients, built companies, led enterprise teams and remained accountable for what happened after the presentation.
For consulting firms
Add client-side credibility and executive judgment.
Strengthen propositions, executive pursuits, Board conversations, complex engagements and reusable practice intellectual capital.
Explore consulting-firm valueFor executive roles
Build the capability behind transformation.
Bring together enterprise strategy, trusted data, scalable technology, governance, teams, adoption and measurable value.
Explore executive leadershipSelected impact
Evidence before claims.
A consistent career through-line: make information trustworthy, decisions faster and complex organizations more capable.
Enterprise transformation in practiceEnterprise Data & AI operating system
Created a ten-part strategy, multi-year roadmap, governed portfolio, executive forums, Agent Center of Practice, responsible-AI guardrails, Microsoft Fabric data-product foundation and adoption program.
Evidence status: Capability established and operating; enterprise benefits remain in progressive validation.
AI for global maritime operations
Led digital twins, machine learning, optimization and IoT-scale data that improved ETA prediction by 30%, achieved 96% digital-twin accuracy and enabled 15–20% fuel reduction. Secured $4.4M in public funding.
Companies and platforms from first principles
Founded and sold three technology businesses; led products serving 1,300+ automotive dealers and more than two million monthly users.
“Technology is at its best when it multiplies human capability and preserves human dignity.”Jean Fahmy · Personal operating model
Intellectual capital
Reusable thinking for complex transformations.
Frameworks help people share a language, expose assumptions and decide what happens next.
3C Breakthrough Innovation
Calling, Conviction and Care: is the future meaningful, evidence-supported and responsible?
Transformation Value Framework
Connect strategy, capability, adoption, outcomes and evidence.
Data Product Model
Package trusted data and business context once for reuse across operations, BI and AI.
Organizations & ecosystems
Experience across traditional industries and recognizable brands.
Relationships include executive roles, consulting mandates, product customers, collaborations and professional ecosystems.
KrugerCanada Steamship LinesGroupe HGrégoireAXAOrangeBell MobilityTim HortonsCanon CanadaTC MediaAuto123.comCanadian Black BookHEC MontréalPolytechnique MontréalFibreNoireSOS MédecinsValtechProtégez-VousEntrepreneurs’ Organization
Inclusion does not imply endorsement. The nature of each relationship varies across Jean’s career.
Recognition
Recognition connected to work I led and teams I served.
Start with the problem
Bring me the complicated challenge.
I am most useful where the problem crosses business and technology, strategy and execution, innovation and governance, adoption and evidence.