Software Engineering Lead, eCommerce AI & Data Enablement

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-quarter roadmap balancing quick wins with foundational investments and product goals & features

Source, onboard, and direct external freelance engineers and contractors, matching the right skillsets to the right projects and ensuring quality and delivery

Design and implement scalable ETL/ELT pipelines, data warehousing, and observability frameworks, establishing data quality and governance practices with central Data teams

Build and deploy production-grade AI/ML capabilities, including LLM-based tools, RAG architectures, prompt engineering pipelines, and ML models for analytics and personalization

Create self-service dashboards and analytics that empower Product, Commercial, and Engineering stakeholders to make data-driven decisions

Partner with Sanofi's central AI & Data teams to align on enterprise standards and tooling, contributing eCommerce use cases back to the enterprise roadmap

Evangelize AI and data literacy across the organization through workshops, documentation, and mentoring

Stay ahead of emerging AI/ML techniques, running proofs-of-concept and bringing forward recommendations to keep Sanofi's platforms at the leading edge

About you

Experience: 7+ years in data engineering, ML engineering, analytics engineering, or AI/ML technical leadership, with a track record of building data and AI systems from the ground up in complex, multi-stakeholder environments

Leadership style: Hands-on experience coordinating external contractors or consulting teams, scoping work, managing delivery, and ensuring quality without direct reports

Technical skills: Strong depth across the full data and AI stack, ETL/ELT pipelines, data warehousing, analytics, ML model development and deployment, and LLM/prompt engineering

Collaboration: Experience working in a matrixed organization, partnering effectively with centralized platform or enablement teams

Bonus: Background in eCommerce, B2B platforms, or enterprise software is a strong plus

Why choose us?

Shape a brand-new capability, build this function from scratch and define how AI and data power Sanofi's global eCommerce ecosystem

Broad technical ownership, work across the full stack, from pipelines to production AI systems, with real autonomy

Global impact at scale, your work directly supports how patients and healthcare professionals access life-changing medicines

Cutting-edge technology, hands-on with LLMs, RAG, and modern data infrastructure on a platform under active transformation

Mission-driven work, every pipeline and model you build helps make medicines more accessible worldwide

Pursue Progress . Discover Extraordinary .

Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together.

At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

#LI-Hybrid #BarcelonaHub #SanofiHubs

Pursue progress , discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com !

The salary range for this position is :€59.600,00 - €89.400,00 Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefit programs.