Curriculum Vitae

Jawad Alaoui is a Data and AI executive with more than 20 years of experience in machine learning, data engineering, software, and technology leadership.

Ottawa, Ontario, Canada
jawad.alaoui@gmail.com · LinkedIn · jawad.dev

Data and AI executive with more than 20 years of experience in data science, software engineering, product development, and technology leadership. Experience spans statistical research, enterprise data platforms, production AI systems, and university teaching.

Leadership scope includes engineering organizations of 4 to 30 people, a bootstrapped services company grown to 20 engineers, and annual technology budgets ranging from €500,000 to more than €3 million.

DashQ — Chief Data and AI Officer

  • Lead the company's data and AI strategy for intelligent leasing products.
  • Own the architecture and delivery of AI-enabled customer services, internal data products, and agentic systems.
  • Lead the development of the Virtual Leasing Agent and Dashnet, a governed interface to company data and internal AI capabilities.
  • Introduced agentic development practices based on short feedback loops, explicit technical specifications, isolated environments, versioning, and traceability.

NORMA — Founder and CEO

2020–2025

  • Founded and bootstrapped an AI and software services company to 20 engineers.
  • Managed multidisciplinary teams across software engineering, data science, product, UX, DevOps, and delivery.
  • Led approximately ten platforms and applications from problem framing and architecture through deployment and production support.
  • Delivered LLM-based information extraction, high-traffic web and mobile applications, real-time scoring, IoT data ingestion, carbon analytics, predictive maintenance, and intelligent document generation.
  • Built production systems on GCP with Dataflow, BigQuery, and Bigtable, supported by Python, FastAPI, Django, React, Next.js, PostgreSQL, Elasticsearch, Docker, and GitHub Actions.

Université Gustave Eiffel — Part-Time Associate Professor

2024–Present

  • Teach machine learning, deep learning, and explainable AI at Institut Gaspard Monge.
  • Combine mathematical foundations with practical Python implementation and current production practices.
  • Design project-based assessments requiring model evaluation, technical reporting, oral defense, and clear justification of engineering decisions.

UniLaSalle — External Lecturer, Statistics and Computer Science

2022–2025

  • Taught statistical testing, linear and nonlinear modeling, data analysis, natural language processing, and experimental design in the international i-SAFE program.
  • Connected statistical theory with practical analysis and implementation in R.

Bpifrance IALab — Tech Lead and Senior Data Scientist

2020–Present

  • Provide machine-learning expertise with a focus on natural language processing.
  • Guide MLOps practices and the transition from experimentation to reliable production services.
  • Helped productionize the lab's first machine-learning and NLP models, with responsibility for model quality and operational adoption.

Société Générale — Data and AI Lead, Senior Data Scientist, and Engineering Manager

2006–2020

  • Delivered churn prediction, product recommendation, process mining, anomaly detection, customer clustering, financial-document NLP, and forecasting solutions.
  • Built machine-learning and NLP capabilities for financing operations and moved data products from prototype to daily production use.
  • Led the technology and data team behind COOP, a digital financing platform for mobile game studios, including its real-time financing-risk algorithm and integration with the bank's production systems.
  • Recruited and managed full-stack, data, and DevOps teams focused on API-driven access to enterprise data.
  • Managed annual technology budgets from €500,000 to more than €3 million across software and data portfolios.
  • Before moving into Data and AI, held senior software engineering and engineering management roles across Lyxor Asset Management and Société Générale financing systems.

INSERM and Université Paris 13 — Statistical Modeling Research

2005–2006

  • Modeled anatomical and functional correlation maps of the human brain.
  • Evaluated and improved estimation methods without a gold standard for medical imaging.

LAMSAD — Applied Statistics Research

2004–2005

  • Developed a predictive model for heavy-metal transfer rates in flax.

Google Cloud Platform — GCP Certified

  • Certification focus: cloud data engineering and scalable analytics.
  • Production experience with Dataflow, BigQuery, and Bigtable across ingestion, processing, analytics, and machine-learning workflows.

ENSAE–ENSAI CEPE — Data Scientist Certification

2015–2016

Continuing and professional education program in data science from the ENSAE–ENSAI training center.

Engineering Degree, Applied Mathematics · 2001–2006

Research Master's, Fundamental and Applied Mathematics — Probability and Statistics · 2005–2006

  • AI and machine learning: agentic systems, LLM applications, NLP, machine learning, deep learning, and explainable AI
  • Data platforms: Dataflow, BigQuery, Bigtable, Spark, HDFS, Hive, PostgreSQL, and Elasticsearch
  • Software: Python, R, FastAPI, Django, React, Next.js, Java, and Spring Boot
  • Cloud and operations: GCP, MLOps, Docker, GitHub Actions, and production operations
  • Leadership: Data and AI strategy, engineering management, architecture, technology budgeting, governance, and organizational transformation