R&D
Wo deine Neugier die Wunder der Wissenschaft antreibt.

Data Steward 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.

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. In this context we are seeking a Data steward manager associate focused on Data Quality and Data Analytics.

Position Summary:

You will play a critical role in the intersection between business mRNA Research and Development and data, guiding business teams on how to unlock value from data. This role will support all aspects of data governance by interpreting data, building and analyzing data quality indicators, extracting information that can be used to make better data driven decision, from research to industrialization. This is a heavily cross-functional role requesting being comfortable with R&D data domains, data provisioning, data integration, data analysis and storytelling.

Main responsibilities: 

• Work in collaboration with the mRNA Data Governance Office (Data Governance Managers, Data Stewards), the SanofiR&D Data Office leadership (including the Data Capability and Strategy Leads), mRNA scientists , 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

• Analyse available data set to contribute to the identification of Critical (meta)Data Elements (CDE)

• Analyse available data set to suggest nomenclature and ontology for these CDEs 

• Contribute to the establishment of Data Quality KPIs and rules

• Set up and monitor Data Quality dashboards (Informatica CDGC & Tableau) for the prioritized data domains.

• Develop views to track progress at data domain levels, across business functions (Research, Process Development, Analytical Sciences and Global Supply) and across different sources of data.

• Identify differences in data practices (across department, across labs, across scientists, across projects, …) and suggest remediation and go-forward plans

• Evaluate the readiness of the mRNA Data Product by analyzing data packages maturity required for scientific decision making

• Support Data Governance Managers in prioritizing needs based on data quality / data maturity gaps.

• 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.

Deliverables:

• Define Data quality and communication metrics for assigned domains and 1-2 business functions

• • Improved Data Quality Score

  • Increased number of CDEs rules

  • Improved maturity and readiness of mRNA Data Product

• Implement continuous improvement opportunities such as functional training

• Accountable for data quality and data management activities for the assigned domains.

• Facilitate data issue resolution

• Define business terms and data elements (metadata) according to data standards, and ensures standardization/normalization of metadata

• Lead working groups to identify data elements, perform root cause and impact analysis, and identify improvements for metadata and data quality

• Regularly communicate with other data leads, expert Data Steward and escalates issues as appropriate

• Data visualization and wrangling pipelines that potentially include standardization of terminologies through integration with ontology tools and connectivity with other internal tools.

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

• Ability to disseminate significant amounts of information with close attention to detail and accuracy

• 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)

• People management skills either in matrix or direct line function

• Data modelling (model comparison, harmonization & design) Life Science vocabulary management (including ontologies)

• Data quality (establish quality criteria, setup quality dashboards) ,Documentation (cataloguing, writing, and publishing guidelines)

• 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

• Knowledge of data wrangling and visualization tools such as Tableau, PowerBI, Spotfire, Dataiku ,Experience with cloud computing platforms, AWS, Azure.

• Experience with knowledge management tools such as Confluence ,Experience with project management tools such as Jira.

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

• Languages: English

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