Job Description

About the jobSanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients daily life, wherever they live and enabling them to enjoy a healthier life.As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health.The R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable).Position Summary:The R&D Data Modeler develops conceptual and logical data models for initiatives, programs, and cross-R&D capabilities. This role is critical for creation of data models and ontologies, and upkeep of models even beyond the conclusion of a project. Data modelers will apply and assist in the definition and governance of data modelling and design standards, tools, best practices, and related development of any R&D data capability.Main responsibilities:Engage in data management and analytics projects; understand, advise, and execute on data flow optimization (e.g., data capture, integration and use across R&D)Understand the data-related needs for various cross-R&D capabilities (E.g., data catalog, master data management etc) and associated initiativesDesign conceptual and logical data models and data dictionaries/ontologies to cater to R&D business needs and functional requirements; lead validation of physical data modelsInteract with business, R&D Digital, and other data collaborators to translate needs into data solutionsUnderstand market trends for data modelling tools and metadata management capabilities; provides input into selection of tools and any necessary migration into companys environmentUnderstand data governance policies, standards and procedures for R&D dataServe as point of contact for data integration topics within solutions (e.g., technology), from source systems to data consumers; define process, tools, and testing requirementsMaintain modelling and naming standards, and data harmonization, metadata management, and source-to-target data mapping documentationEvaluate and influence projects while serving as voice-of-business; map systems/interfaces for data management, set standards for future state, and close gap from current-to-future stateServe as technical and data consultant for R&D initiatives with major platforms/technology implementationsMaintain documentation and act as an expert on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for R&D functionsEducate and guide R&D teams on standards and information management principles, methodologies, best practices, etc.DeliverablesConduct requirements gathering from business analysts, data scientists, and other stakeholdersFormulate strategies, and query optimizations to enhance data retrieval speedDevelop complex and scalable data models aligned to organizations long term strategic goalsFormulate data governance frameworks, policies, and standardsEstablish best practices for data modeling ensuring interoperability among systems, applications & data sources3. About youExperience: 5+ years of experience in business data management, information architecture, technology or other related fieldFunctional skills:Demonstrated ability to understand end-to-end data use and business needsKnowledge of R&D data and data domains (e.g., across research, clinical, regulatory etc)Experience with creating and applying data modelling best practices and naming conventionsStrong analytical problem-solving skillsDemonstrated strong attention to detail, quality, time management and customer focusExcellent written and oral communications skillsStrong networking, influencing and negotiating skills and superior problem-solving skillsDemonstrated willingness to make decisions and to take responsibility for suchExcellent interpersonal skills (team player)Technical SkillsExperience with data management practices and technologies (e.g., Collibra, Informatica etc)Familiar with databases (relational, dimensional, NoSQL, etc) and concepts of data integrityStrong knowledge of data architecture (e.g., data lake, data virtualization, hubs etc) and modelling (e.g., 3nf etc) is requiredExperience in big data infrastructures (E.g., Hadoop, NOSQL etc)Experience with SDLC and pharma R&D platforms; experience with requirements gathering, system design, and validation/quality/compliance requirementsExperience managing technology and/or data warehouse projectsFamiliarity with relationship databases and entity-relationship data modellingExperience with hierarchical data models from conceptualization to database optimizationEducation: Bachelors in Computer Science, Engineering, Mathematics, Statistics, or related; Masters preferredLanguages: EnglishPursue Progress. Discover Extraordinary.Progress doesnt happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Lets pursue progress. And lets discover extraordinary together.At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.Watch our and check out our Diversity Equity and Inclusion actions at !Pursue progress, discover extraordinaryBetter is out there. Better medications, better outcomes, better science. But progress doesnt happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, lets be those people.At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.Watch our and check out our Diversity Equity and Inclusion actions at !

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