Requirements: English
Company: Sanofi EU
Region: Lyon , Auvergne-Rhne-Alpes
Le contenu du poste est libell en anglais car il ncessite de nombreuses interactions avec nos filiales linternational, l''anglais tant la langue de travail.
This job offer is accessible to all, regardless of gender
- Job title: Scrum Master/Agile Coach
- Location: Lyon
- Hybrid work: 60% office based, 40% remote
About the job
At Sanofi, were committed to transform the practice of medicine through break-through science. Within Sanofi, Manufacturing & Supply (M&S) is the bridge between Science and Patients, ensuring all patients get their dose reliably, that new medicines are launched faster to cover unmet needs and that they can be delivered affordably across the globe. At Sanofi we are convinced that Manufacturing is, and must in the future increasingly be, a competitive advantage and that digital unlocks every next step in that journey.
Join Sanofi Manufacturing & Supply (M&S): Where Innovation Meets Life-Saving Impact in the Heart of Lyon!
Imagine working in a vibrant startup environment, right in Lyon''s bustling city center!
We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve peoples lives. Digital & Data is at the heart of Sanofi: our ambition is to be the leading digital healthcare platform to develop & deliver medicine faster, enable healthcare professionals to improve treatments and help patients improve their health. Ready to get started?
Main responsibilities
- Coach and mentor teams in adopting agile principles and behaviors with a strong product driven mindset
- Coach teams to become high-performing, self-managed that take ownership of their work, align with business and user objectives, and continuously improve their ways of working
- Foster Lean thinking habits and continuous improvement delivery with an outcome-driven decision making based on validated customer needs
- Coach teams in Lean flow optimization, (i.e. using Value Stream Mapping and bottleneck removal techniques) to improve end-to-end efficiency
- Enhance collaboration between cross-functional product teams (PO, Full-Stack Developers, Data Professionals, UX/UI) & business stakeholders to drive alignment and value delivery
- Coach teams in integrating agility into both product discovery and delivery, ensuring continuous learning, fast adaptation, and iterative improvement
- Facilitate coaching on continuous experimentation and scientific thinking, leveraging data-driven learning, structured problem-solving
- Develop agility at all levelsteams, leadership, and the organizationto sustain long-term transformation and business agility
About you
- Experience
- Experience in effectively coaching and mentoring Product Owner and teams in developing their strategic thinking and decision-making skills to scale products across multiple countries and stakeholders
- Over 7 years of experience as a Scrum Master/Agile Coach in complex environments coaching at multiple levels: Teams, Leadership, and Organization
- Experience in working in domain knowledge relevant to the data science projects under Manufacturing and Supply Environment if possible. (e.g. knowledge of industry regulations, data privacy considerations, domain-specific metrics, and business processes)
- Expertise in Lean Flow Optimization
- Soft skills
- Proven expertise in Agile product management and continuous product discovery (i.e. design sprints, lean ux vs just delivery work)
- Strong understanding of product strategy, roadmap development, backlog management, and release planning for achieving significant outcomes
- Excellent communication, mentoring, and leadership skills for effective coaching and team influence
- Ability to adapt and thrive in fast-paced, collaborative environments
- Experimentation and Iterative Development: Data science projects often involve experimentation and iterative development. The coach should promote a culture of experimentation, learning, and continuous improvement within the team
- Data Literacy: The coach should possess a good understanding of data concepts and terminology. This includes familiarity with data types, data manipulation techniques, statistical analysis, machine learning algorithms, and other relevant topics
- Technical skills:
- Solid Expertise of Lean & Agile practices
- Understand the technology stack. Understand the technology stack and be able to guide the team on best practices for tool selection, integration, and usage
- Demonstrated understanding of regulatory requirements and compliance frameworks relevant to highly regulated industries
- Hands-on experience with tools such as Value Stream Ma