Data Product Owner – Research and Transversal Derived Data Products

Reference No. R2794599

Position Title: Data Product Owner - Research and Transversal Derived Data Products

Department: Research & Transversal Products

Location: Toronto, Ontario

About the Job

Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives.

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 R&D Data & AI Products and Platforms Team as a Data Product Owner and you can help make it happen.

Your job?

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 R&D Data & AI Products and Platforms 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 looking for a Data Product Owner to lead the development of innovative data products supporting Scientific Derived Data Products. These include data products built from processed bioinformatic and AI/ML workflow outputs including small molecule and protein optimization, next generation sequencing, and digital pathology workflows.

As the Data Product Owner , you will be responsible for collaborating with scientists and technical stakeholders, managing the full data product lifecycle from gathering requirements to product delivery and continuous improvement. You will work closely with a dedicated scrum team composed of data engineers to deliver high-impact data products that empower cutting-edge scientific research and innovation.

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 .

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:

Product Ownership:

• Lead the development and evolution of data products that support bioinformatics and AI/ML workflows, ensuring they meet scientific, research, and business objectives.

• Own the data product roadmap, defining clear and actionable goals that align with the strategic direction of the company and the needs of the scientific teams.

• Bridge the gap between scientists and product teams to ensure that outcomes are aligned to business needs and value. The product owner will be a master coordinator, driver, and translator.

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

Collaboration & Stakeholder Management:

• Work closely with scientists and data engineers to ensure the data products meet both scientific and technical requirements.

• Collaborate with senior leaders and cross-functional teams (including R&D, technology, and operations) to ensure alignment and ensure the product strategy is supported by business cases and industry standards.

Product Delivery:

• Oversee the agile product development process, ensuring smooth product delivery from initial conception to ongoing iterations.

• Adept at mitigating risks and issues as they arise over the course of product delivery, along with reporting and providing regular product updates to broad forums.

• Partner with the Scrum Master and delivery team to ensure timely and successful sprints, address challenges, and resolve any ambiguities.

• Partner with the data engineering and architecture leads to ensure data products are built according to data operations (DataOps) and standard architectural principles.

• Manage backlog prioritization, balancing short-term deliverables with long-term goals and breakthrough ideas.

Continuous Improvement:

• Track the performance and impact of the product post-launch, gathering feedback to drive continuous improvements and enhancements.

• Ensure that the data products are being used and maintained according to standard principles, and that redundant and/or derived data products are not fragmenting the overall data product landscape.

• Monitor user satisfaction, adoption, and scientific outcomes to ensure the product evolves to meet the needs of researchers and business goals.

Technical Leadership & Strategic Vision:

• Bring a deep understanding of scientific data products, particularly in areas like in vitro screening data, variant stores, and image stores.

• Understanding of concepts in data modeling and ontological/semantic data management, including use of CENtree and related ontology management platforms.

• Inspire and lead a team of data engineers by articulating a clear vision for the product and demonstrating the potential for innovative solutions.

About You

Key Functional Requirements & Qualifications:

• Master's degree in computer science, bioinformatics, data science, or a related scientific field. Ph. D. or equivalent experience in relevant scientific domains is a plus.

• 5+ years in product management, preferably with experience in bioinformatics, AI/ML and/or life sciences.

• Experience leading data product development in scientific environments, particularly in areas like NGS, proteomics, genomics, or bioinformatics.

• Strong understand.