R&D Data Management Expert

Bayer; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Bayer is seeking a senior data catalog leader to shape governance across R&D data assets. You will partner with business and IT to define access, lifecycle, and discovery frameworks, ensuring data quality and compliance for analytics and AI use cases.

Responsibilities include integrating R&D systems, providing training, and driving adoption. A strong background in biomedical data and modern data stacks is required for success.

Qualifications

• Experience in data catalog, metadata management, and controlled vocabularies.
• 10+ years in data catalog and related capabilities in the biomedical domain.
• Strong understanding of pharma R&D data and user bases.

Responsibilities

• Partner with business and tech teams to create frameworks for access control, modeling, cross-domain discovery, and AI-use case data lifecycle.
• Improve catalog by integrating with R&D systems and AI services to convey data meaning, context, and reliability.
• Document and manage governance with data purpose, privacy, GxP compliance, data lineage and data integrity, in collaboration with QA, Legal, Compliance.
• Drive adoption by providing training on catalog use for research needs and monitor usage/effectiveness.
• Establish feedback loops to capture unmet data needs and gaps in catalog coverage.
• Partner with data architecture and standards teams to enable seamless data operations across R&D.

Skills

Data governance

Data quality

Knowledge graphs

Search/retrieval systems

AI and ML concepts

Agentic workflows

Education

MS in Biological Sciences or MS in Computer Science, Data Science, and Information Management (biomedical context)

Tools

AWS

Databricks

Collibra

Unity Catalog

Glue

SageMaker

MCP

Job description

Responsibilities

• Partner with business and technical teams to create cohesive frameworks for access control, modeling, cross-domain discoverability, reusability for various analytics and AI use cases, and lifecycle management


• Enhance the catalog by ensuring integration with R&D systems, processes and AI services allowing scientists to quickly grasp the meaning, context, and reliability of data. Liaise with IT to troubleshoot technical issues, maintain server integrity, and integrations with other platforms and capabilities.


• Document and manage governance while taking into consideration the purpose and intended use of data, e.g. data sensitivity, privacy, GxP compliance, data lineage and data integrity. This is done in close collaboration with R&D Data Governance, Quality Assurance, Legal, Patents and Compliance, Regulatory Affairs, etc.


• Drive adoption and best practices across teams by providing tailored training on the use of the catalog for specific research needs. Monitor the usage and effectiveness of the data catalog.


• Establish feedback loops to capture unmet data needs and gaps in catalog coverage as well as improve data quality.


• Partner with business and technology teams responsible for business information modeling, business data architecture, master and reference data standards, other data and AI capabilities to enable seamless data operations across R&D

Qualification & Experience

• MS in Biological Sciences or MS Computer Science, Data Science, and Information Management preferably in a biomedical context.


• 10+ years in data catalog, metadata management and controlled vocabularies, related data and search capabilities in the biomedical domain. Product thinking would be a distinct bonus.


• Good understanding of pharmaceutical or life science R&D and the user base.


• Strong grasp of modern data governance and data quality, knowledge graphs, search/retrieval systems, AI and machine learning concepts, agentic workflows, DevOps, and modern data and AI stacks (e.g., AWS, Databricks, Collibra, Unity Catalog, Glue, SageMaker, MCP).


• Proven delivery of high-impact data and AI products/solutions for Pharma R&D - vision, approach, roadmap and delivery.