// AI Transformation Partner
I build Data & AI
capabilities that last.
From strategic vision to production deployment — I structure, build, and drive adoption of Data & AI systems that create measurable value, not prototypes.
AI Strategy & Transformation · Data & AI Architecture · Governance & Operating Model
Languages · FR · EN · AR (Tunisian)

Saber Dhib — Paris
// what defines me
Business by instinct. I grew up in a commercial environment. Margins, cycles, clients, risk — these aren't things I learned in a course. Value creation is a reflex, not a calculation. Every technical decision I make is ultimately an economic one.
Governance by experience. I held representative mandates at local and national level during my studies. Governance, for me, is not a framework — it's the real-time management of tensions between actors, divergent interests, and mandate constraints. I've lived it before modeling it.
ROI-first, risk calibrated. I optimize for results and take the measures necessary to limit exposure. The risk/benefit ratio is never an afterthought — it structures how I scope, recommend, and build. I don't separate strategy from accountability.
Multidisciplinary curiosity. Mathematics, philosophy, economics, technology. A breadth that lets me operate across contexts others keep siloed: education, luxury, mega-events, smart cities, international NGOs, public administration, large-scale transformation. I connect systems — not just data.
Strategist by nature, architect when required. I operate best where vision and execution converge. Forward deployment, Data & AI strategy, systems architecture — I adapt to what the mission demands. Visionary when the role calls for it, rigorous when precision is what moves things forward.
// axes of intervention
AI Strategy & Transformation
I work with executives to define where AI creates real value: use case prioritization, roadmap, decision-maker alignment, and business model. Before the architecture, the question is why, what, and in what order.
AI Strategy · Business Case · Roadmap
Data & AI Architecture
I design and deploy the systems that enable AI to work in production: data foundation, LLM platforms, RAG, agents, MLOps. Architecture choices are justified, scalable, and secure by design — not POCs that collapse under load.
Data Platform · LLM / RAG · MLOps
Governance & Operating Model
Value doesn't come from the model. It comes from adoption, governance, and operational integration. I structure AI governance policies, operating models, adoption processes, and value measurement mechanisms.
AI Governance · Adoption · Operating Model
// what i actually build
A Data & AI capability, not a chatbot
01
Strategy Layer
Vision, AI ambition, use case prioritization, roadmap, and success criteria.
02
Governance Layer
AI policy, risk management, compliance, access controls, traceability. Embedded by design.
03
Data Layer
Data foundation, quality, pipelines, modeling, platforms. No AI is stronger than the data beneath it.
04
Intelligence Layer
Models, LLM, RAG, agents, orchestration, evaluation, production deployment.
05
Operating Model Layer
Organization, AI roles, processes, training, KPIs, continuous improvement.
06
Business Impact Layer
Value measurement, ROI, validated use cases, scaling. The only layer that justifies all the others.
// tech stack
Tech stack
Some I master. Some I outperform on. Others I know well enough to design with, decide on, and hold accountable in production.
Data Engineering
Cloud
MLOps
LLM / GenAI
Product & UX
Enterprise & Analytics
Institutions & Ecosystem
// ready to start
Ready to structure your
Data & AI transformation?
I work with executives and teams who want to build lasting AI capabilities — not isolated prototypes. If you have a strategic, operational, or architectural challenge, let's talk.