Product Owner

Location: Toronto, ON​

About the Job

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.

Sanofi has recently embarked on a digital transformation. This digital transformation is changing the way we interact with our customers, suppliers, colleagues, and other stakeholders. In this role, you get to transform how we interact with our suppliers, identify opportunities to deepen those relationships, reduce costs and drive efficiencies across the value chain, whilst leveraging the best of AI and data technologies

As a Product Manager within M&S Digital team in Sanofi you’ll be is responsible for creating experiences that delight our users, and will build technology products that can be scaled across M&S. Technology Products are digital/data platforms, services, and frameworks, that provide solution teams with the capabilities they need to deliver digital/ data solutions to various needs with Manufacturing & Supply teams in Sanofi. These technology products include a modern data platform using best-in-class AI / GenAImodels, along with digital capabilities in the domains of API, Events & micro-services. 

If you are a technical product manager or a software engineer looking to transition to product management, this is the right role for you. 

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

• Manage build of cutting-edgeAI / Generative AI enabled products across the product lifecycle by working closely with both internal and external partners. 

• Engage with engineering and architecture teams across M&S Digital and M&S Business units at Sanofi to gather and prioritize product features.

• Research and maintain expert knowledge on the data science, AI and how data is operated like a product in other large enterprises, and product offerings that would help to inform buy, build, partner decisioning.

• Collaborate with Product Line Manager to define the data and digital products strategy and roadmap, as well as to help in development of business cases to allocate required funding and time, with support from M&S Digital and M&S Business units.

• Deliver a product backlog with well-defined and prioritized product features with corresponding justification (the what and the why) 

• Work with development teams by orchestrating their work through’ JIRA tickets and help manage development backlog and run agile associated ceremonies in the team with the help of other product owners in your pod. 

• Develop the core positioning and messaging for the data product. 

• Organize and lead product demos to users, brief them on the value and help train users

• Champion a high-performance environment and contributes to an inclusive work environment.

About You

• Earned high school diploma or equivalent is required; Bachelor's degree in related field is preferred

• Absolutely essential to possess problem-solving mindset, strong attention to detail, and proven experience of thriving in uncertainty and shifting priorities

• Proven ability to navigate and succeed in complex process-oriented organizations. 

• Strong understanding of AI technologies including supervised learning, unsupervised learning, generative AIand reinforcement learning.

• Track record of deploying AI technologies to identified high priority business needs.

• Track record of working with development teams to orchestrate their work through tools such as JIRA, Confluence and running ceremonies associated with Agile [Preferred].

• Track record with and/or the desire to conducting user interviews, asking open ended questions, and uncovering the root cause of pain to create solutions.

• 3 to 7 years of experience in high tech start-up or consulting is highly preferred.