AI Solution Product Owner

Location: Barcelona

About the job  

Sanofi is an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people's lives. Our team, across over 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 vaccines to protect millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.

Digital is driving Sanofi's ambition to become the first biopharma powered by AI at scale - accelerating how we discover, develop, and deliver breakthrough medicines and vaccines. Sanofi is rebuilding how it works with customers, suppliers, and colleagues, and AI and data are at the center of that transformation. As part of M&S Digital, you will build the products and platforms that make Manufacturing & Supply faster, leaner, and smarter, so medicines reach patients sooner.

About this product

You will lead flagship Data and AI products that may range from topics such as AI for inspection readiness, agentic supply chain, and lab automation - taking them from the first idea through to scaled adoption across Manufacturing & Supply.

Your users are the global teams working in quality to make sure patients have the most reliable product; the scientists working on the shopfloor who make our medicines and constantly improve efficiency to make sure we have enough product to deliver into the hands of patients; and the supply chain teams who are looking to fundamentally reinvent our delivery chain, reduce lead time, and secure supply.

Your job is to give them capabilities that can scale and create meaningful impact: products that turn world-class AI and data into everyday working tools for the people who make our medicines.

Mains responsibilities  

Own flagship products and their impact

You are a proven product builder: you have taken products to production before, and you will do it again here. You are accountable for end-to-end product outcomes that create user and business value, from ideation to deployment and scaled adoption across Sanofi.

Contribute to product vision and validate priorities

Translate business and user needs into clear product requirements: collect user needs and translate them into a prioritized backlog, with a clear what and why for every feature

Analyze market trends, data, and user preferences to predict future product performance and demand, have clear understanding of the product moat for your own product, and chart the path to strengthen it

Run delivery with your pod

Own and maintain the product backlog for your scope; prioritize based on value, learning, feasibility, and dependencies

Co-create solutions with the tech lead. Work with developers through Jira and Confluence, define sprint goals aligned with desired outcomes, and run agile ceremonies.

Protect delivery focus by clarifying priorities and sequencing work effectively

Engage stakeholders transparently and constructively

You build trust and alignment through clear communication and evidence-based discussion

Discuss findings, business value, and scientific or operational risk credibly with senior leaders

Align business expectations with product direction, and navigate a complex, process-heavy organization constructively

Improve operational efficiency and ways of working

Increase developer velocity, shorten time-to-production, and make operations more efficient across M&S Digital's engineering ecosystem

Promote agile product practices, identify opportunities to improve collaboration and delivery flow, and support a culture of learning, experimentation, and customer-centricity

Contribute to a high-performance, inclusive team culture

Responsible AI

Ensure the execution of AI Governance tasks and compliance with controls throughout the AI system lifecycle, including validation and post-deployment monitoring

Meet all applicable quality, regulatory (Data Privacy, GxP), and cybersecurity requirements

Maintain adherence to these standards across all AI products in your scope

About you

Experience and domain

You have demonstrated experience delivering products before - this is a hard requirement, not a nice-to-have. You have personally taken at least one product from concept to a deployed capability that real users rely on.

5+ years in product, data science, applied science, or a technical product role with Progressively broader scope, with a consistent record of shipping rather than prototyping

A background in tech, biotech, pharma or a related industry, with a strong understanding of life sciences, AI, or both

Strong product sense and a point of view of your own. You bring ideas, not just execute

AI and technical depth

You have demonstrated experience shipping AI into production: AI you built or led is live in the hands of users in a high-priority business use case - not a proof of concept, a deck, or a sandbox

You are an AI builder, not just an AI user: you prototype with LLMs and agent tools yourself and hold your team to the same standard

You can engage deeply with data scientists and engineers on method, architecture, and trade-offs, and you bring technical curiosity and a solid understanding of data and AI concepts

First-principles thinking

You bring original thinking grounded in facts and science

You can frame complex problems in a solvable way and bring clarity

Execution and builder mentality

Clear priorities, disciplined product thinking, and a bias toward action in complex, ambiguous environments

Strong attention to detail, and focus when executives, users, peers, and developers all want something at once

Influence and business fluency

You have directed or coordinated technical teams - developers, designers, business stakeholders - and earn trust through technical credibility

You can discuss findings, business value, and scientific or operational risk with senior leaders, and translate technical concepts for non-technical audiences

You navigate complex, process-heavy organizations and align product strategy to business needs

User focus

A real desire to ask open-ended questions and find the root cause of user pain

Knowledge of user experience design tools and techniques, and you use them to design, build, and refine products that are positively perceived and accessible to all users

Mindset

Comfortable with ambiguity and autonomy; the scope of the role will be shaped in part by you

Adaptability and an innovation mindset: you pivot quickly based on feedback and champion new approaches

Mission-driven: you care about getting medicines to patients faster.

Language

Fluent in English

Pursue Progress . Discover Extraordinary .

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