RDDO Data Capability and Strategy Lead

Job title: Data Capability and Strategy Lead

• 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 Capability and Strategy Lead serves as the interface between Business and Digital/Data on foundational data capabilities or needs across R&D. This role will be responsible for identification of key use cases across R&D, high level data solutioning (e.g., data strategy, governance/standards, management, infrastructure needs etc), and oversight of day-to-day operations for their specific data capability.

Main responsibilities:

• Drive the development and implementation of R&D’s data strategy and governance operating model focusing on data management, data reuse, and integration standards

• Collaborate with R&D, Digital, IT and Business teams to identify data needs, design innovative solutions, and ensure seamless data flow from ingestion to access

• Define and maintain standards for data structure, content, metadata, taxonomies, and glossaries, in alignment with Ontology and Common Data Model teams

• Lead root cause analysis and impact assessments for data-related issues

• Manage complex data programs and initiatives, ensuring timely delivery, risk mitigation, and alignment with business priorities

• Promote consistent ways of working and drive change management, including stakeholder communication, training, and adoption

• Oversee data documentation and act as subject matter expert on master data management

• Evaluate and recommend new technologies to enhance data governance frameworks, data reuse, and information management

• Lead and mentor junior data roles (e.g., data modelers, data stewards) involved in end-to-end data activities

• Define and track KPIs to measure the success and effectiveness of data governance and management initiatives

• Coordinate with external partners and vendors on data-related initiatives and standards

About you

• Experience in business data management, information architecture, technology or other related field ,Good knowledge of cross-industry data standards

• In-depth knowledge in Data Governance functions, processes, technology and deliver the implementation of R&D DG operational model to drive Sanofi’s transformation to be data driven organization

• Good understanding of data storage and data sharing policies and processes

• knowledge of Data Modelling, and Ontology Management is recommended

• Basic programming skills. Strong familiarity with pharma R&D processes and technology in particular in the development area: CMC and Clinical

• Ability to build business relationships and understand end-to-end data use and needs

• Diplomatic and stakeholder management skills across business, technology, and partners

• A deep understanding of the data processes and requirements, particularly in R&D with knowledge of Clinical trials data

• 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

• Education: Bachelors or Masters degree in Computer Science, Business, Engineering, Information Technology​ ,Languages: English