Lead the definition of the Responsible AI team’s roadmap, ensuring clarity, budget alignment, resource allocation, and strategic alignment with Sanofi’s evolving priorities
Serve as the central RAISE team leader, owning the strategic direction and program management of major Responsible Data & AI initiatives across communications, upskilling, risk management processes, and governance.
Collaborate closely with platform product owners to synchronize tooling and technologies
Collaborate closely with Data & AI product owners and developers to define and adopt technical controls that will allow for responsibility-by-design
Drive and monitor global business adoption of responsible Data & AI standards in a governance office structure, leading steering committees, councils, and focus groups with a diverse set of stakeholders
Engage Sanofi resources around the world in increasing responsible Data & AI literacy and awareness and adoption of communications and upskilling
Facilitate the scalable deployment of responsible Data & AI processes across various Global Business Units and functional areas.
Mobilize and leverage resources across the organization to ensure the successful delivery of Responsible Data & AI priorities and objectives.
Oversee the day-to-day business operations for the Responsible Data & AI portfolio, integrating seamlessly with its network of specialists across Legal, Privacy, Ethics, Digital, Social Responsibility, etc.
Define and implement a long-term sustainable global operating model for Data & AI governance
Influence Sanofi’s policies and external thought leadership on Responsible Data & AI
Requirements & Skills:
Minimum of 5 years of relevant experience, with a proven track record in strategy and transformation/implementation of large-scale AI programs. Understanding of, and interest in, the evolving AI regulatory landscape and emerging Responsible AI governance and compliance requirements
Demonstrated experience in data and analytics/management consulting with a focus on Data Governance and Responsible AI preferred.
Strategic thinker with the ability to bridge the gap between data analytics and ethical business imperatives.
Proficiency in techno-functional data capabilities such as security, privacy, cloud, and data science, with a specific emphasis on responsible data practices.
Proficiency in Data Governance (metadata management, data quality, data access, master data) and AI/ML (model management, model serving, MLOps) concepts and implementations
Relationship-oriented individual with excellent communication and influencing skills, capable of engaging stakeholders at all levels to champion Responsible Data & AI initiatives.
Storyteller with the ability to distill complex technical concepts into compelling narratives
Bachelor’s/Master’s/PhD in business, STEM (science, technology, engineering, mathematics), or equivalent experience, with preferred experience in standing up Responsible AI principles and practices.
Comfortable operating in ambiguity, with the autonomy to navigate Responsible Data & AI challenges creatively and proactively. Effective written communication, presentation, and interpersonal skills, with a focus on articulating Responsible Data & AI strategies and outcomes clearly and persuasively.
Certification in PMP, ASM-Agile Scrum Master, Certified Scrum Master/Product Owner (CSM, CSPO, SAFe) preferred, with a solid understanding of agile
