Unstructured Data Management

About Client:

Our Client is a multinational IT services and consulting company headquartered in USA, With revenues 19.7 Billion USD, with Global work force of 3,50,000 and Listed in NASDAQ, It is one of the leading IT services firms globally, known for its work in digital transformation, technology consulting, and business process outsourcing, Business Focus on Digital Engineering, Cloud Services, AI and Data Analytics, Enterprise Applications ( SAP, Oracle, Sales Force ), IT Infrastructure, Business Process Out Source. Major delivery centers in India, including cities like Chennai, Pune, Hyderabad, and Bengaluru. Offices in over 35 countries. India is a major operational hub, with as its U.S. headquarters.

• Job Title :

  Unstructured Data Management -

  data architecture, data governance, data quality

• Key Skills :

  data architecture, data governance, data quality

• Job Locations : PAN INDIA
• Experience : 12+ Years.
• Education Qualification : Any Graduation.
• Work Mode : Hybrid.
• Employment Type :

  Contract.

• Notice Period :

  Immediate

Job Purpose :

advanced data management guidelines (data architecture, data governance, data quality)

Major Accountabilities

• Drive

  adoption

  of Unstructured Data Management guidelines across business units and global functions
• Clearly articulate the

  value

  of managing unstructured data governance to key stakeholders like enterprise data owners, domain data architects, AI office etc.
• Drive the

  identification of functional requirements

  across business functions for designing the technology stack for governing unstructured data at enterprise level
• Drive the enterprise guidelines on building a

  semantic layer

  (ontologies & knowledge graphs) for managing unstructured data

• Subject Matter Expert for Unstructured Data Governance (documents, images etc.) with ability to build and drive thought leadership towards improving maturity of the enterprise to build a strong foundation for GenAI use cases
• Strong experience in implementation of Metadata Management, Data Governance & Data Quality capabilities relevant to unstructured data management
• Strong understanding of evolving trends in the AI industry (e.g. relevance of investing in metadata management with improved context windows / improved GenAI models etc.) and their implications for being able to guide the unstructured data governance strategy in the right direction
• Strong understanding of the key tools and technologies relevant for processing unstructured data with respect to managing metadata, monitoring data quality and data governance
• Strong understanding of leveraging GenAI/AI for unstructured data governance processes
• Strong understanding of regulatory implications (like EU AI act) on unstructured data governance
• Good to have experience in Pharma/Life Sciences relevant GenAI use cases and corresponding unstructured data governance
• Good understanding of GenAI/AI pipelines e.g. data pre-processing (embedding models, chunking), RAG (Graph RAG etc.), LLM models etc.
• Excellent communication, negotiation and stakeholder management skills