Accelerator Agile Coach - Product & Lean (Lyon) Ajouter aux favoris
- Location: Lyon
- Hybrid work: 60% office based, 40% remote
- 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 levels-teams, leadership, and the organization-to sustain long-term transformation and business agility
- 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
- 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
- Data science projects often involve experimentation and iterative development. The coach should promote a culture of experimentation, learning, and continuous improvement within the team
- 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
- 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 Mapping, A3 Thinking, Toyota Kata, and process optimization techniques
- Master's degree in computer science or equivalent scientific field
- English
- We provide a highly collaborative environment, with an opportunity to work with a world class team
- Contribute to a company that is not only a leader in healthcare but also a pioneer in digital transformation, shaping the future of global health
- 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
- Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact
- Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave
- Play an instrumental part in creating best practice within our manufacturing facility
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.
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