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Sanofi

Software Engineering Lead, eCommerce AI & Data Enablement

Hybrid • Barcelona, Spain • Lead • €60–89k / год
Зарплата
€60–89k / год
Опубликовано
20 мин назад
Описание
  • _Location: Barcelona, Spain_

About the Job

Sanofi's Global eCommerce organization is building the digital infrastructure that connects healthcare professionals, institutions, and patients to our life-changing medicines. As Lead, AI & Data Enablement, you'll stand up and lead a new, strategically critical capability: making our entire eCommerce, Tender Management, and B2B technology ecosystem AI-ready and data-enabled.

This is a high-impact technical leadership role — not a people management position. You'll coordinate a flexible team of external freelance engineers and specialists, bringing in the right skillsets — data engineering, ML engineering, prompt engineering, analytics engineering, data science — for the right projects at the right time. You'll partner closely with Sanofi's central AI & Data teams, taking guidance on enterprise standards while owning execution within the eCommerce domain.

About Sanofi

Sanofi is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health, committed to chasing the miracles of science to improve people's lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.

At Sanofi, we believe our people are our greatest strength, and we are committed to creating an inclusive environment where diverse perspectives drive innovation. Our values — Aim Higher, Act for Patients, Be Bold, and Lead Together — guide everything we do.

Main responsibilities

  • Define and execute the AI & data enablement strategy — assess current data infrastructure and AI readiness, identify gaps, and build a multi-qu...

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