R&D
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Job title: Data Steward

• 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.

Pioneering the research and development of mRNA technology using data and AI, our Data & Computational Sciences team develops, deploys and exploits digital solutions for end to end (research, pre-clinical, translational, process development, clinical) data integration and advanced analytics to enable full data driven strategy and decision-making process. In that context, ensuring the quality and fitness for purpose of the organization's data assets is a critical need.

Position Summary:

The R&D Data Steward plays a critical role in the intersection between business mRNA Research and Development 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.

Main responsibilities:

• Work in collaboration with mRNA Data & Computational Sciences team (most specifically with the Data Continuum product owners), the Sanofi R&D Data Office leadership (including the Data Capability and Strategy Leads), mRNA scientists (most specifically with scientific Data transformation Leads), 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

• Document data governance policies, standards and procedures for R&D data

• Maintain documentation and act as an expert on data definitions, data flows, legacy data structures, access rights models, etc. for assigned domain

• Propose nomenclature for scientific Data Packages and Document R&D level standards on the nomenclature, content, and structure of information (structured and unstructured data) and metadata, glossaries, taxonomies

• 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, etc

• Develop effective data sharing artifacts for appropriate usage of data across R&D data domains

• Ensure the seamless running of the data-related activities and verify data standard application from ingest through access

• Oversee data pipeline and availability and escalate issues where they surface; ensure on-schedule/on-time delivery and proactive management of risks/issues

• Work with R&D teams on standards and information management principles, methodologies, best practices, etc.

• Contribute to design an end to end Conceptual and logical Data model

• Participate in the identification of Critical Data Elements and in the elaboration of Data Quality KPI.

• Contribute to the monitoring of Data Quality scores.

• Suggest Data Remediation activities to improve Data Quality score and implement them upon approval Support in creating trainings and data literacy materials

Deliverables:

• Follows defined processes to embed data cleaning, quality, and communication metrics into 1-2 business functions within the organization

• Maintains valid value lists (vocabularies) on reference tables

• Supports the mRNA Data Governance Office, senior and expert Data Stewards with enhancing data standards, business terms, rules, policies and processes for their functional scope, including any region-specific requirements

• Supports execution of defined Data Governance processes

• Supports compliance of defined Data policies

• Improved Data Quality Score

About you

• Experience in Business Data Management, Information Architecture, Technology, or related fields

• Demonstrated ability to understand end-to-end data use and needs

• Knowledge of R&D data domains (e.g., across research, pre-clinical testing, process development, manufacturing) applied to life sciences. Knowledge of mRNA data domains is a plus.

• Solid grasp of data governance practices and track record of implementation

• Ability to understand data processes and requirements, particularly in R&D at an enterprise level

• 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) ,Improved Data Quality Score

• Familiar with data management practices and technologies (e.g., any ELN (Benchling or ONE lab is a plus), data catalogue (Informatica CDGC is a plus); experience in practices not required)

• Knowledge of pharma R&D industry regulations and compliance requirements related to data governance

• Education: Bachelors in Computer Science, Business, Engineering, Information Technology

• Languages: English

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