Data Continuum Product Owner
Location: Barcelona - Spain
Hybrid Full time
About the job
At Sanofi, we're committed to providing the next-gen healthcare that patients and customers need.
It's about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before.
The Global Innovation Centre is a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do.
Build a career and you can be part of transforming our business while helping to change millions of lives.
Main responsibilities Partner with Digital MSAT team in enabling key Digital Launches related activities through foundational data elements.Lead the development and management of data assets to support AI-driven initiatives in close collaboration with Digital M&S, MSAT, and Launch Engine teams.Co-Define the Data Continuum strategy in line with Digital M&S Data ambition.Collaborate with R&D, CMC, MSAT and cross-functional teams to ensure data continuity and integrity across various stages of product development.Build data products to enable the tech transfer process by leveraging data to streamline operations and accelerate product launches.Contribute to the development and implementation of GenAI use cases with/for MSAT teams to accelerate product transfer from R&D to M&S.Engage with stakeholders to identify data requirements and translate them into actionable data strategies and execution activities.Oversee the integration of R&D data with other organizational data streams to support the Data Continuum.Maintain up-to-date knowledge of AI and machine learning.About you Experience: Proven experience in data management, preferably within the pharmaceutical industry.Natural curiosity in understanding problem spaces deeply; demystifying linkages between people, processes, and technologies; and strong appetite for problem solving.Data engineering or Modeling background is a pre-requisite.Strong Product Management skills with proven Agile experience.Strong understanding of AI and machine learning applications in Pharma.Soft and technical skills: Excellent communication and leadership skills, leadership, stakeholder management, and with the ability to drive projects to completion.Ability to work collaboratively with various teams, including R&D, CMC, MSAT, Data Engineering, and Data Science.Familiarity with data governance and compliance requirements in a regulated environment.Passion for innovation and driving digital transformation initiatives.Languages:
- Fluent spoken and written English.
Why choose us?
Bring the miracles of science to life alongside a supportive, future-focused team.
Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.
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