Senior Director R&D Portfolio Data Strategy & Insights

About This Role

This role involves leading the data strategy and insights for R&D portfolio management at Sanofi, focusing on establishing and maintaining a robust data foundation. The objective is to equip Sanofi's leaders with objective and externally-focused insights to make informed R&D investment decisions and ensure pipeline sustainability.

Responsibilities

• Provide strategic leadership for Data, AI, and GenAI initiatives tied to R&D Project and Portfolio Management business objectives.
• Lead the delivery of new and mature AI data products to generate transformational impact.
• Build and improve foundational data assets and related governance for R&D project and portfolio management applications.
• Establish and maintain a FAIR (Findable, Accessible, Interoperable, Reusable) data foundation for portfolio analytics and strategic decision-making.
• Drive operational excellence through data quality and stewardship, ensuring regulatory compliance.
• Support the build and evolution of R&D Portfolio and Project Management data foundations, and democratization of data.
• Drive operational innovation through advanced analytics, machine learning models, computer vision, GenAI and Agentic AI applications.
• Establish and maintain strategic partnerships with internal stakeholders across various R&D functions.
• Develop and execute a comprehensive enterprise data strategy aligned with Sanofi's business objectives and scientific mission.
• Ensure quality, accuracy, and completeness of data within the project and portfolio business domain.

Requirements

• Advanced degree (Ph.D., MBA, or equivalent) in life sciences, pharmaceutical sciences, Data Science, or a related field
• Minimum of 10 years of experience in portfolio data strategy, portfolio management and analytics within the pharmaceutical or biotechnology industry
• Excellent leadership and communication skills, with the ability to influence stakeholders at all levels
• Expert knowledge of data governance frameworks and methodologies
• Strong track record in metadata management and data cataloging initiatives
• Proven ability to lead and develop new capabilities and collaborate effectively across functions
• Strong understanding of AI and machine learning principles, particularly regarding data requirements for AI applications
• Results-driven and proven track record in building and deploying data and AI systems/solutions into production
• Knowledge of industry standard data governance tools and platforms
• Fluent English, both written and verbal

Qualifications

• Advanced degree (Ph.D., MBA, or equivalent) in life sciences, pharmaceutical sciences, Data Science, or a related field
• Minimum of 10 years of experience in portfolio data strategy, portfolio management and analytics, or a related field within the pharmaceutical or biotechnology industry

Nice to Have

• Natural curiosity to stay abreast of the latest and greatest trends in AI
• Maturity and leadership skills to interact at senior levels, influence strategic decisions, and work in a matrix environment
• Natural strategic thinking mindset with ability to pragmatically solve complex problems, make tough arbitration in business context and drive tangible business outcomes

Skills

* Required skills

Benefits