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About The Job Are you passionate about shaping the future of workforce skills? Join Sanofi in one of our corporate functions and play a crucial role in enhancing our organizational capabilities. As the Skills Taxonomy Manager within our Master Data Management Team, you will be responsible for owning and managing the taxonomy of skills in Workday. This role is essential for ensuring that our skills framework aligns with our strategic goals and supports employee development and engagement. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? Main Responsibilities Developing and Managing Skills Taxonomies – Creating structured lists of skills based on industry standards, job roles, and emerging trends. Mapping Skills to Jobs and Competencies – Aligning skills with job roles, career paths, and competency frameworks. Data Analysis & Research – Analyzing job market data, labor trends, and industry standards to keep taxonomies up to date. Collaboration with HR, L&D, and Tech Teams – Working with HR professionals, Learning & Development teams, and AI/HR tech platforms to integrate skills frameworks into hiring, training, and career development tools. Standardization and Interoperability – Ensuring that the taxonomy aligns with industry frameworks like ESCO (European Skills, Competences, Qualifications and Occupations) or O*NET (Occupational Information Network). Develop and refine classification systems to accurately categorize skills. Ensure data accuracy, integrity, and compliance with organizational policies and regulatory requirements. Provide support in the implementation and maintenance of the skills taxonomy. Monitor the effectiveness of the skills taxonomy and recommend enhancements for future iterations. About You Education: Master degree in Business Administration, Information Technology, Human Resources, or a related field Experience: 5+ years of experience in similar position Experience in skills taxonomy development and management, preferably in a corporate setting. Strong analytical and problem-solving skills, with the ability to assess complex situations and recommend effective solutions. Excellent project management skills with the ability to manage multiple tasks simultaneously. Strong communication skills to present complex data insights in a clear and concise manner. Strong interpersonal skills, with the ability to build relationships and work effectively within cross-functional teams. Proficiency in data analysis and visualization tools (e.g., Tableau, Power BI). 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. 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. Pursue Progress . Discover Extraordinary . 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. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s 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, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! null Show more Show less
