About Sanofi: We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people's lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.Our vision for digital, data analytics and AI: 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 Digital Team at Sanofi is a unique data-driven team. We pride ourselves on being data obsessed and highly focused on using state of the art processes along with global technologies to drive impact to our solutions. We measure our insights and products based on how they perform across the globe and hold ourselves to the highest regard as our solutions can impact millions of lives. When tackling a problem, we do not just ask how we will create a solution, but how we will create a solution that reaches across the world with the best possible societal outcome.If you are passionate about improving the health and wellness of people across the globe using Data as your means, then you should look no farther than the Digital Team here at Sanofi. 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 building products that will be deployed globally on a leading-edge tech stack.World Class Mentorship and Training: Working with renowned, published leaders and academics in machine learning to further develop your skillsets.Location: The Sanofi Digital Data Team uses a hybrid working model combining remote and office-based work. The Canada Digital Data Hub offices will be located in the greater downtown area of Toronto.Position Summary: You are a dynamic Real World Data Management Analyst, interested in challenging the status quo, by having a deep understanding of managing and analyzing current and emerging person-level data opportunities with processes and value drivers for the business. You will contribute to solutions that derive insights from data and you will ensure the quality, usability and security of Sanofi's real world data ecosystem. You are analytical, creative, and collaborative. You have keen attention to detail and take the time to understand our stakeholders' data needs and challenges. You continually seek to improve your knowledge of new technologies and industry standards to drive the development of simple, yet effective solutions. You enjoy partnering with stakeholders to design and implement data management best practices and procedures. You are a self-starter, see challenges as opportunities, and are results oriented.You take pride knowing your work enables innovation and helping Sanofi build better solutions.Key Responsibilities:Develop detailed knowledge of Sanofi's data, data flows, and processes.Perform data analysis and provide input to solution design and architecture to ensure the solution meets requirements.Extract, aggregate, manipulate, categorize, clean, and transform data associated within an identified problem space.Partner with stakeholders to get buy-in on, develop, and implement Sanofi's data management standards, policies, and best practices.Drive alignment across stakeholders on enterprise data models and definitions.Develop and implement procedures for effective data management aligned with FAIR principles.Perform exploratory data analysis and feature generation.Identify, analyze, and interpret trends or patterns in complex data sets.Recommend KPIs and develop reports to monitor adoption of and adherence to data management standards.Share regular updates with stakeholders regarding proposed solutions, timelines, progress, and issues.Participate in testing activities to ensure data integrations are properly implemented.Develop and implement rules and procedures for data sharing, and ensure compliance with data usage policies.Contribute changes and/or improvements to data governance processes.Regularly evaluate health of data assets and identify potential impact on downstream processes.
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