.. - Order confirmation, Goods issue, Goods receipt and Back flushing. Quality Managemen t - Quality in Procurement, Quality in Production, In process inspection, Calibration and Quality in Sales. Should have experience in preparing Functional Specification, co-ordination with ABAP team, testing of new .. read more
About usSanofi 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 SummaryThe R&D Master Data Management Lead Data Steward plays a critical role in the intersection between business and data, where stewards will guide business teams on how to unlock value from data. This role will drive definition and documentation of R&D data standards in line with enterprise. Data stewards will place heavily cross-functional roles and must be comfortable with R&D data domains, data policies, and data cataloguing. Data Steward Lead are expected to provide an expertise on one of the three main R&D Data Domains – Project/Product/Study – and to become internal expert of the Domain under its responsibility to support the business to maintain high data quality, governance, business processes and ensure end to end control of the data flows. Main responsibilitiesWork in collaboration with R&D Data Office leadership, R&D MDM Data Capability Lead, business, R&D Digital subject matter experts and other partners to:Understand the data-related needs for various cross-R&D capabilities (E.g., data catalog, master data management etc) and associated initiatives Influence, design, and document data governance policies, standards and procedures for R&D dataDrive data standard adoption across capabilities and initiatives; manage and maintain quality and integrity of data via data enrichment activities (E.g., cleansing, validating, enhancing etc)Understand and adopt data management tools such as R&D data catalogue, etcDevelop effective data sharing artifacts for appropriate usage of data across R&D data domainsEnsure the seamless running of the data-related activities and verify data standard application from ingest through accessMaintain documentation and act as an expert on data definitions, data flows, legacy data structures, access rights models, etc. for assigned domainOversee data pipeline and availability and escalate issues where they surface; ensure on-schedule/on-time delivery and proactive management of risks/issues Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc. Oversee junior data stewards and/or business analysts based on complexity or size of initiatives/functions supportedDeliverablesDefines Data quality and communication metrics for assigned domains and 1-2 business functionsImplements continuous improvement opportunities such as functional trainingAccountable for data quality and data management activities for the assigned domains.Facilitates data issue resolutionDefines business terms and data elements (metadata) according to data standards, and ensures standardization/normalization of metadataLeads working groups to identify data elements, perform root cause and impact analysis, and identify improvements for metadata and data qualityRegularly communicates with other data leads, expert Data Steward and escalates issues as appropriateExperience: 5+ years in Business Data Management, Information Architecture, Technology, or related fieldsPrevious experience in pharmaceutical industry, preferably in R&D, in clinical operations or clinical data management, or portfolio management or system/data management within regulatory affairs Functional skills:Demonstrated ability to understand end-to-end data use and needs Knowledge of R&D data domains (e.g., across research, clinical, regulatory etc)Solid grasp of data governance practices and track record of implementationAbility to understand data processes and requirements, particularly in R&D at an enterprise levelDemonstrated 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)People management skills either in matrix or direct line functionTechnical Skills Familiar with data management practices and technologies (e.g., Collibra, Informatica etc); experience in practices not requiredKnowledge of pharma R&D industry regulations and compliance requirements related to data governance Education: Bachelors in Computer Science, Business, Engineering, Information TechnologyLanguages: EnglishPursue progress, discover extraordinaryBetter is out there. Better medications, better outcomes, better science. But progress doesn’t 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, let’s 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, disability, or gender identity.Watch our and check out our Diversity Equity and Inclusion actions at !At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.