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. 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.
Who You Are: Reporting to the Head of Data Architecture, you design data architectures and create the technical backbone for digital products and programs. To successfully accomplish this task, you work in close collaboration with the product line leaders, program managers, engineers, external partners, and relevant business stakeholders leveraging our data technologies standards. You are a valued influencer and hands-on leader who has delivered practical and scalable architecture. You have a keen eye for improvement opportunities and the demonstrated ability to deliver these opportunities using your broad technology skillset.
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 building products that will be deployed globally on a leading-edge tech stack.World Class Mentorship and Training: Working with renowned leaders and academics in machine learning to further develop your skillsets. Job Highlights: Designs and implements systems and frameworks that can succeed long term (The Data Architect designs Architecture to meet business needs, within the agreed requirements, and are both pragmatic and supportive of the strategic architecture direction).Works in close collaboration with Business, Technology and Product stakeholders to contextualize the architecture design.Verifies the consideration of non-functional requirements as part of the solution architecture.Designs and produces design documents and solution roadmaps showing the states of transition for the Architecture.Leverages the existing Portfolio of digital products, catalog of services and promotes the usage of existing building blocks.Defines and manages standards, guidelines and processes for analytics solutions and architecture, aligning with the broader architecture council.Remains up to date on IT industry practices and emerging standards.Recommends emerging technologies for Data Analytics tech stack; optimize existing stack.Contributes to the prioritization of technology enablers in solution roadmaps.Be a champion for high standards to ensure Digital Data Standards for Processes and Technologies are shared and used. Key Functional Requirements & Qualifications: Experience with Agile methodologies, supporting and working with cross-functional teams.Experience in all phases of a Data lifecycle: concept & design, development, implementation, change and operation.Demonstrate excellent skills of translating requirements into workable, fit for purpose, technical designs and solutions.Have extensive experience in technical solution identification and rationalization.Facilitates design and review sessions to define broad solutions with the big picture in mind.Ability to understand architectural dependencies of technologies in a vast and complex environment.Explore how new technologies can be applied to solve challenging business problems and compile architecture decision records (ADRs).Desires to work in a fast-paced, constantly evolving environment; ability to manage multiple priorities.Ability to work independently as well as in a team with a proven ability to influence.Structured, planned and traceable approach.Integrity and trust - unwavering commitment to "doing the right thing".Good communication and facilitation skills.Good written and verbal skills in English.Pharmaceutical and life science experience is a plus. Key Technical Requirements & Qualifications: Bachelor's degree in Computer Science, Information Systems, Software Engineering or similar field.Strong Experience designing and implementing Enterprise Data & AI.
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