Delivery Lead, Research and CMC

R2845316 Delivery Lead, Research and CMC

Location: Toronto, Ontario (Hybrid)

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.

Ready to grow your skills while helping shape the future of healthcare? At Sanofi, you’ll be empowered to learn, ask questions, and bring your ideas to life – all while supported by inspiring mentors and collaborative teams.

Join our R&D Data & AI Products and Platforms Team as a Delivery Lead 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 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.

As a Delivery Lead within the R&D Data & AI Products Delivery Team, you will be responsible for promoting and coaching delivery Pods on agile delivery principles and methodologies. You will work cross-functionally with delivery Pods and other teams to establish agile frameworks and best practices that enhance collaboration, improve team performance, and drive the successful delivery of R&D Data & AI products. Your key responsibilities will include facilitating agile ceremonies, coaching teams on agile methodologies, promoting continuous improvement, and ensuring the alignment of project goals with R&D business objectives.

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.

About Sanofi

We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

Main Responsibilities:

Agile Facilitation During Data/AI Product Design & Development

• Leverage agile methodology and tools to build strong collaboration within data & AI products delivery Pods

• Collaborate with Data/AI Product Owner to manage the product backlog and user story development and ensure clear communication of requirements

• Work to remove impediments and ensure smooth workflow by coaching team to address challenges and roadblocks in a timely manner; escalate issues and risks when required and coordinate mitigation

• Advise on the development of detailed scoping and sprint planning to define a detailed and feasible execution plan across design, build, and run

• Facilitate and coach teams to facilitate agile ceremonies (e.g., daily stand-ups, sprint planning, sprint reviews, retrospectives) to ensure effective team collaboration

• Proactively and continuously seek to improve processes by conducting retrospectives and implementing action plans to drive solutions

• Track and report on team velocity, sprint burndown, and other Agile metrics; develop and present performance reports to stakeholders

Team Management & Collaboration

• Manage team dynamics and mediate conflicts within the Pod teams as they arise

• Drive collaboration and effective ways of working across teams of diverse stakeholders (incl. developers, data scientists, business analysts, etc.)

• Coach and mentor team members on agile methodologies and encourage a culture of self-organization and continuous learning

About You

• Bachelor's degree with 3-5 years of experience in scrum, project management, management consulting, or other related field

• Strong understanding of data product lifecycle management, delivery processes, and Agile methodology

• Demonstrated ability to coordinate operational activities, including managing projects and operational reporting

• Strong problem-solving skills and the ability to remove roadblocks to ensure team success

• Exceptional organizational, communication, and collaboration skills

• Experience working and fostering collaboration with cross-functional teams and diverse groups of both technical and business stakeholders

• Demonstrated ability to navigate large teams and complex stakeholder dynamics to drive outcomes successfully

Key Technical Requirements & Qualifications:

• Deep understanding of AI and data science concepts, including familiarity with tools used in Agile project management (e.g., Jira, Trello, Azure DevOps)

• Proven experience exhibiting Lean-Agile Leadership, with a deep knowledge and understanding of agile frameworks (e.g., Scrum, Kanban, Lean)

• Experience promoting SAFe quality practices and facilitates preparation of Agile Release Train ceremonies

• Certification in Scrum Master (CSM) or similar agile certifications preferred

Why Choose Us?

• Bring the miracles of science to life alongside a supportive, future-focused team.

• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.

• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.

• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs

AI Usage

"Artificial Intelligence” refers to any systems that use automated processes, including algorithms and machine learning, to analyze data and make predictions, inferences, decisions, or recommendations without direct human involvement. These systems may process personal information to identify patterns, improve services, or support decision-making. The Company may use Artificial Intelligence for purposes including, but not limited to, resume screening and hiring, scheduling interviews or meetings, conducting surveys, matching skills with potential job openings, interview scoring, ensuring compliance with regulations applicable to our industry, and activities related to performance evaluation. Information collected and processed by the Company’s Artificial Intelligence systems may include the personal information detailed above and calendar availability. It excludes the information collected and processed for monitoring purposes. You should contact Human Resources if you have a question or concern regarding your personal information. You can also contact Canada’s Privacy Officer via Sanofi’s data subject request portal, Data Subject Rights Webform. The Data Subject Rights Webform can also be used to request access or correction of your personal information and file a complaint.

Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.

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All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.

Toute compensation sera déterminée en fonction de l'expérience démontrée. Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent être trouvées ici.