Digital Product Owner, Portfolio & Clinical AI Workflows

As a Digital Product Owner focused on Portfolio & Clinical AI Workflows, you will be responsible for leading AI-driven workflows to support Portfolio and Clinical research within the R&D domain. Your primary role will involve designing, developing, and implementing AI/ML-enabled workflows that facilitate portfolio decision-making, clinical data analysis, and cross-program insights. This position will require close collaboration with clinical scientists, portfolio strategy teams, data scientists, and platform engineering to ensure the delivery of reliable, compliant, and impactful AI-enabled solutions. Key Responsibilities: - Own the roadmap and backlog for Portfolio & Clinical AI workflows. - Define use cases and requirements for AI/ML-driven analytics and decision-support tools. - Translate scientific, clinical, and portfolio needs into clear product specifications. - Ensure workflows are production-ready, compliant, and aligned with enterprise standards. - Partner with data scientists to operationalize machine learning models into reproducible workflows. - Collaborate with various stakeholders including clinical development teams, portfolio strategy stakeholders, data science, AI engineering teams, and platform partners. - Lead agile development cycles, maintaining a prioritized backlog that balances short-term impact with long-term scalability. - Track adoption, usability, and scientific impact of deployed AI workflows. - Identify new AI opportunities aligned with strategic research priorities. Key Requirements: - 5+ years of experience in Product Management or Product Ownership, preferably in life sciences, clinical research, or AI/ML environments. - Experience delivering AI-driven or analytics-driven products to scientific or clinical users. - Strong understanding of clinical development processes and portfolio governance frameworks. - Familiarity with cloud platforms (e.g., AWS) and enterprise data systems. - Solid understanding of machine learning lifecycle concepts and experience translating data science outputs into operational workflows. - Soft skills include effective communication of complex AI concepts, strategic thinking, and ability to operate across scientific, technical, and operational domains. - Education: Bachelors or Masters degree in Data Science, Bioinformatics, Computer Science, Clinical Research, or related field. Advanced degree in a scientific or clinical discipline is a plus. Sanofi is an equal opportunity employer that values diversity and inclusion. Join us in pursuing progress and making miracles happen across different backgrounds, locations, and roles. Discover extraordinary opportunities for personal and professional growth at Sanofi. As a Digital Product Owner focused on Portfolio & Clinical AI Workflows, you will be responsible for leading AI-driven workflows to support Portfolio and Clinical research within the R&D domain. Your primary role will involve designing, developing, and implementing AI/ML-enabled workflows that facilitate portfolio decision-making, clinical data analysis, and cross-program insights. This position will require close collaboration with clinical scientists, portfolio strategy teams, data scientists, and platform engineering to ensure the delivery of reliable, compliant, and impactful AI-enabled solutions. Key Responsibilities: - Own the roadmap and backlog for Portfolio & Clinical AI workflows. - Define use cases and requirements for AI/ML-driven analytics and decision-support tools. - Translate scientific, clinical, and portfolio needs into clear product specifications. - Ensure workflows are production-ready, compliant, and aligned with enterprise standards. - Partner with data scientists to operationalize machine learning models into reproducible workflows. - Collaborate with various stakeholders including clinical development teams, portfolio strategy stakeholders, data science, AI engineering teams, and platform partners. - Lead agile development cycles, maintaining a prioritized backlog that balances short-term impact with long-term scalability. - Track adoption, usability, and scientific impact of deployed AI workflows. - Identify new AI opportunities aligned with strategic research priorities. Key Requirements: - 5+ years of experience in Product Management or Product Ownership, preferably in life sciences, clinical research, or AI/ML environments. - Experience delivering AI-driven or analytics-driven products to scientific or clinical users. - Strong understanding of clinical development processes and portfolio governance frameworks. - Familiarity with cloud platforms (e.g., AWS) and enterprise data systems. - Solid understanding of machine learning lifecycle concepts and experience translating data science outputs into operational workflows. - Soft skills include effective communication of complex AI concepts, strategic thinking, and ability to operate across scientific, technical, and operational domains. - Education: Bachelors