Data Product Owner, Research

About the Job

Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world.

At Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. Join our Digital R&D, Data Platforms and Products Team as a Data Product Owner, Research and you can help make it happen.

Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.

The Data Platforms and Products Team is a key team within R&D Digital, focused on developing and delivering Data and AI products for R&D use cases. This team plays a critical role in pursuing broader democratization of data across R&D and providing the foundation to scale AI/ML, advanced analytics, and operational analytics capabilities.

We are seeking a Data Product Owner, Research to lead the strategy, roadmap, and delivery of a portfolio of high-impact data products that enable R&D portfolio management. These products empower Sanofi teams to plan, evaluate, and optimize across the drug development pipeline, spanning programs, indications, and stages of development.

As a product leader in this product line, you will drive alignment with key stakeholders, influence enterprise-wide data architecture decisions, and build best-in-class data products that provide capabilities such as data hubs, metadata lineage, timeline modeling, and analytics enablement.

Our vision for digital, data analytics and AI

Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means:

AI Factory – Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.

Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack.

World Class Mentorship and Training: Working with renown leaders and academics in machine learning to further develop your skillsets.

Main Responsibilities:

Strategic Leadership:

Define and own the data product strategy, enabling high-quality, harmonized, and accessible data to support strategic decision-making in R&D.

Partner with stakeholders to align product vision to business priorities and regulatory requirements.

Ensure the roadmap is scalable and flexible to meet global and therapeutic-area specific needs.

Lead quarterly and annual planning, prioritizing initiatives based on impact, resource capacity, and scientific value.

Bridge the gap between scientists and product teams to ensure that outcomes are aligned to business needs and value.

Gather and prioritize requirements from scientists, technical stakeholders, and cross-functional teams to define the “What” and “Why” of product development.

Product Management

Oversee a suite of interconnected in silico fabric data products (e.g., program hierarchy models, timeline data APIs, asset metadata stores, risk modeling tools).

Oversee cross-product dependencies, ensuring interoperability, governance alignment, and compliance with data quality standards.

Ensure all products follow best practices in FAIR data principles, CI/CD delivery, and audit-readiness.

Build and manage a shared services model across product teams, including re-usable data assets, common pipeline components, and metadata catalogs.

Cross-Functional Collaboration

Collaborate with Digital R&D platform leads, enterprise data governance teams, and AI/ML leaders to influence data infrastructure investments.

Partner with R&D Management, Strategy & Operations, and Finance teams to ensure in silico fabric data products meet real-world decision-making needs.

Team Development & Leadership

Cultivate a culture of accountability, agility, innovation, and user-centered thinking.

Promote knowledge sharing, collaboration, and continuous learning across product domains.

Delivery Excellence

Ensure timely and high-quality delivery of data products in alignment with sprint plans and release milestones.

Champion agile product development and iterative delivery, balancing short-term execution with long-term product health.

Drive measurement of impact through business KPIs, data usage metrics, and stakeholder satisfaction.

Resolve escalated product or delivery risks, and coordinate mitigation strategies across internal and external teams.

About You:

Key Functional Requirements & Qualifications:

Master’s degree or higher in life sciences, computer science, data science, or a related field. Ph.D. or MBA is a strong plus.

8+ years of experience in data product management, operations, or digital product development in life sciences.

Strong familiarity with R&D management processes, systems, and use cases.

Proven leadership experience influencing cross-functional teams and driving digital or data transformation in R&D.

Ability to define product vision and strategy and translate that into team deliverables and stakeholder outcomes.

Excellent communication and executive presentation skills, including the ability to represent the organization at internal and external forums.

Proven track record of hiring, developing, and retaining top product talent.

Key Technical Requirements & Qualifications:

Strong knowledge of Agile/Scrum methodologies, product management, and iterative product development.

Understanding of metadata management, data catalogs, data lineage, and cloud-native data architecture (e.g., AWS, Snowflake, Databricks).

Experience managing CI/CD pipelines and product releases for data infrastructure.

Experience working with product tools like Jira, Confluence, Miro, and enterprise data platforms.

A strong data-driven mindset, with the ability to balance innovation with compliance and operational excellence.

Understanding of analytics, forecasting models, or program-level risk tracking is a strong asset.