M&S-IFB Downstream Process Engineer-Beijing

Job title: Data Steward Manager

• Location: Hyderabad, India

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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 R&D 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.

Main responsibilities: 

• Work in collaboration with R&D Data Office leadership (including the Data Capability and Strategy Leads), 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, data quality, data marketplace, etc.) and associated initiatives  

• Understand the basics of data consolidation process through data mesh architecture and the concept of de-centralised socio-technical approach.

• Influence, design, and document data governance policies, standards and procedures for R&D data 

• Drive 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 for data catalogue, data marketplace, and Data Quality using tools from Informatica (CDGC, CDQ, Marketplace and others in their suite of cloud data management products) 

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

• 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 supported 

• Facilitate communication between business and technical teams to ensure mutual understanding and alignment on data management practices

• Understanding the comprehensive processes and governance frameworks to ensure data protection and compliance.

Deliverables:  

• Defines data catalog, data quality, and data products related communication metrics for assigned domains and 1-2 business functions 

• Implements continuous improvement opportunities, such as data management platform improvement opportunities, functional training to stakeholders  

• Accountable for data catalog, data quality, publishing on marketplace and data management activities for assigned domains. 

• Facilitates data issue resolution across various data governance process/ steps 

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

• Defines data quality rules by understanding the data and support Digital team in implementation  

• Defines, maintains data governance and data strategy documentation, monitoring data governance performance metrices to identify areas of improvement

• Identifies and effectively communicates improvement opportunities in existing data management platforms via means, like business testing of an app, business requirements analysis, dashboard analysis, process reviews, etc. 

• Drives change management with business, data and digital (IT) teams

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

• Regularly communicates with business stakeholders, data leads, expert data stewards and escalates issues as appropriate 

About you

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

• A go-getter who knows how to drive the topics on her/ his own

• A person who can think 360 degrees to get things done and escalate appropriately

• Strong soft skills with a willingness to take ownership,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 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) ,People management skills either in matrix or direct line function

• Familiar with data management practices and technologies (e.g., Informatica, Collibra, etc)

• Familiar with data mesh concept with knowledge of relational databases, especially Snowflake

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

• Familiarity with data management platforms in the area of catalog, DQ, marketplace, observability, access, etc.

• Education: Bachelor's in computer science, Business, Engineering, Information Technology

• Languages: English