À propos de Aurélien
I love to dig into customer problems and solve them with data-driven approaches. I create, scale, and optimize products and solutions that matter. To accomplish this, I focus on delivering key outcomes and quickly adapting to new learnings.
I have enjoyed different positions in my career, from creating a startup to working in the biggest healthcare company in the world. What I learned about myself so far :
I am attracted by big challenges :
- I excel in finding solutions in a very constrained field (budget, regulatory, timing..).
- I can manage cross-functional projects: tech, marketing, and healthcare.
I am customer obsessed :
- I manage all my projects by systematically readjusting the trajectory according to the client's needs.
- I always put customer satisfaction in my KPIs framework.
I will never stop learning to become a better person :
- I hold 5 degrees and I am looking forward to the next one.
- I love to give back to students. I created an entire program for a school and occasionally teach faculty courses, do mentoring, and participate in alumni initiatives.
Data scientist - Data Science - Chef de projet - Transformation Digitale - Big Data - Python - SQL - Chef de programme - Chef de produit
Anglais
Capacité professionnelle complète
Français
Bilingue ou natif
Accepte de travailler sur site
Paris (jusqu’à 50 km)
Expériences
- UpscaliaFounder & CEOCONSEIL & AUDITnovembre 2024 - Aujourd'hui (1 an et 8 mois)Paris, FranceConsulting firm dedicated to guiding businesses through their digital transformation and operational excellence journey, leveraging innovative AI-driven strategies and solutions.Key Missions:
- Conducted in-depth business process mapping and audits to uncover inefficiencies and assess AI transformation opportunities (analytics and agentic AI), linking strategy, operations & innovation
- Structured end-to-end diagnostics and prioritization frameworks to select high-value, low-risk AI use cases with clear ROI
- Defined AI governance, risk mitigation, and human-in-the-loop validation approaches for AI solutions ensuring compliant and responsible AI
- Designed and deployed GenAI and agent-based solutions in Power Platform (Copilot Studio, Power Apps, Power Automate, AI Builder) to automate knowledge work and improve operational efficiency, delivering 200–500% productivity gains
- Drove change management and user adoption through training, communication kits, and quick-win delivery, enabling sustainable integration of AI into daily workflows
- Johnson & JohnsonHead of AI Customer Engagement, EMEA and Business Insights Manager Rare DiseasesINDUSTRIE PHARMACEUTIQUEnovembre 2021 - novembre 2024 (3 ans)Issy-les-Moulineaux, France
- -Designed and executed advanced customer engagement strategies leveraging AI-driven segmentation and targeting, generating a revenue uplift exceeding €500M annually (+500% vs. 2022)
- Managed strategic and operational execution of cross-functional digital initiatives, including advanced CRM implementation, real-time analytics, omnichannel strategy, launch excellence, and precision medicine customer engagement tactics
- Led and developed high-performing multidisciplinary teams comprising 50 direct and indirect reports, fostering innovation, excellence, and a results-driven culture
- Led the EMEA long-range financial and strategic planning processes (LRFP) and launch strategy of a rare disease brand across the EMEA region (6-month internal talent development program)
- Biogen France SASData science & Multichannel LeadINDUSTRIE PHARMACEUTIQUEjuillet 2020 - novembre 2021 (1 an et 4 mois)
- Developed and executed innovative customer engagement and data science strategies, resulting in a significant Net Promoter Score (NPS) improvement by 20-40 points (+100%-200%)
- Directed digital strategy and operational effectiveness initiatives within the rare diseases business unit, achieving productivity increases of 300-500%
- Spearheaded affiliate digital transformation projects, including omnichannel strategy integration, marketing automation, and active contributions to European working groups defining omnichannel best practices
Avis
Recommandations
AU
AU
+1
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Formations
- Data science for BusinessÉcole Polytechnique2020GPA : 3.9/4.0 Big Data Mining, Big Data Analytics, Data visualisation, Machine learning, Deep Learning, Python, R
- Master in Management - Programme Grande ÉcoleHEC Paris2019Liste d'excellence HEC (Dean list) Spécialisations : - Transformation Digitale - Stratégie - Data science