Data Architectural Lead

13 hours ago

Hyderabad, Telangana, India beBeeSemantic Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

**Job Overview:**

We are seeking an accomplished professional to spearhead the development of our multimodal data roadmap. As a key member of our team, you will be responsible for driving strategic initiatives that align with our business objectives.

Key Responsibilities:
  • Develop and implement a comprehensive data strategy that encompasses FAIR principles and ensures all data assets are properly tagged, governed, and aligned with business objectives.
  • Maintain a centralized data catalog of all managed data assets, facilitating seamless data discovery and management.
  • Standardize data models and reference data across master data defined by each data asset owner, ensuring consistency and accuracy.
  • Implement AI-enabled metadata tools to enhance data findability and metadata management, driving business insights and innovation.
Requirements:
  • A Master's degree or higher in Computer Science, Engineering, Ontology, Semantics, or Artificial Intelligence (AI).
  • No less than 10 years of experience in metadata management, semantic technologies, ontology, AI, and insights generation in the pharmaceutical or biotechnology industry.
  • Proven track record of leading and implementing large-scale data projects and initiatives, particularly those involving semantic technologies and knowledge graphs.
  • Proficiency in FAIR data principles and their application in a business/biomedical context.
  • Knowledge of regulated environments, such as GDPR and GxP.
  • Palantir Foundry experience is highly desirable.
Preferred Skills:
  • Clinical Data Management, Cross-Functional Team, Data Architecture, Data Governance, Data Management, Data Quality, Data Science, Data Strategy, Drug Development, Master Data, People Management, Waterfall Model.
Impact on the Organization:

This role will enable us to build a scalable and integrated data platform that redefines the role of data in building disease-centric assets and insights across the R&D continuum. The successful candidate will also contribute to the development of a multimodal and multidimensional data framework to represent, organize, and analyze complex biomedical data, enhancing R&D efficiency and innovation.

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