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Job title: Data Modeling manager Associate Location: Hyderabad, India About The Job Sanofi 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 primary responsibility of this position is to enable effective data capture and analysis in the R&D space through the development of conceptual and logical data models for initiatives, programs, and cross-R&D capabilities. This role is critical for structured data capture, 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 Design conceptual and logical data models and data dictionaries/ontologies to cater to R&D business needs and functional requirements; lead validation of physical data models Understand data governance policies, standards and procedures for R&D data Maintain modelling and naming standards, and data harmonization, metadata management, and source-to-target data mapping documentation Evaluate 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 state Serve as functional and data consultant for R&D initiatives with major platforms/technology implementations Maintain 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 functions Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc. Deliverables Conduct requirements gathering from business analysts, data scientists, and other stakeholders Develop complex and scalable data models aligned to organization’s long term strategic goals Formulate data governance frameworks, policies, and standards Establish best practices for data modelling ensuring interoperability among systems, applications & data sources About You Experience in data management, data analysis, data architecture, or another related field Demonstrated ability to understand end-to-end data use and business needs Knowledge and/or experience of Pharma R&D or life sciences data and data domains are critical Experience with creating and applying data modelling best practices and naming conventions Strong analytical problem-solving skills Demonstrated strong attention to detail, quality, time management and customer focus Excellent written and oral communications skills Strong networking, influencing and negotiating skills and superior problem-solving skills Demonstrated willingness to make decisions and to take responsibility for such Excellent interpersonal skills (team player) Knowledge and experience of data modelling, SQL and database design are required Knowledge and experience of RDF, NoSQL and ontology are highly desired. Experience pharma R&D platforms; experience with requirements gathering, system design, and validation/quality/compliance requirements Experience managing technology and/or data warehouse projects Experience with hierarchical data models from conceptualization to database implementation Education: Bachelor’s in science, Engineering, or related; Masters preferred Languages: English null Show more Show less
