AI Product Analyst

24 hours ago

Hyderabad, Telangana, India Novartis Full time ₹ 5,00,000 - ₹ 15,00,000 per year

Job Description Summary

The Business and Process Analyst for AI Products acts as a critical bridge between business stakeholders and technical teams, ensuring that analyze current-state business processes to uncover opportunities for semantic enrichment and metadata-driven optimization, maintaining comprehensive documentation to support transparency and continuous improvement. Collaboration with data stewards and governance teams ensures alignment with enterprise standards, while support for conceptual and logical data models guarantees relevance to analytics and product goals.

The analyst identifies and suggests AI solution areas by validating business problems, assessing data availability, and evaluating feasibility through frameworks such as the AI Operating Model and lifecycle stages from ideation to scale.

Job Description

Stakeholder Communication & Requirement Gathering

  • Engage with cross-functional teams including product, AI/ML, engineering, and business stakeholders to define and prioritize use cases.

  • Drive discovery sessions to map data workflows and identify metadata, ontology, and data modeling needs.

  • Capture user feedback and process gaps to iteratively refine data semantics and metadata strategies.

Business Process Mapping & Improvement

  • Analyze and document current-state business processes, identifying opportunities for semantic enrichment and metadata-driven optimization.

  • Maintain detailed process documentation—including workflows, use cases, and user stories—to support transparency and continuous improvement.

  • Collaborate with data stewards and governance teams to align metadata and ontology practices with business objectives and standards.

  • Support the development and refinement of conceptual and logical data models, ensuring alignment with analytics and product use cases through collaborative reviews, metadata standardization, and data dictionary maintenance.

Process Automation & Efficiency

  • Identify opportunities for automating metadata curation, data modeling, and ontology management workflows.

  • Collaborate with engineering and infrastructure teams to implement scalable, automated solutions that enhance operational efficiency.

Cross-Functional Collaboration

  • Act as a liaison between business, technical, and governance teams to ensure semantic alignment and data quality.

  • Coordinate with design, infrastructure, ML, and engineering teams to ensure seamless integration of semantic models and metadata frameworks into enterprise platforms.

  • Support training and onboarding of data stewards and business users on semantic standards and tools.

Qualification & Work Experience:

BE/B. Tech or equivalent degree with relevant experience of 2-3 years in Business and process analyst. 

Skills Desired

Clinical Data Management, Databases, Data Governance, Data Integrity, Data Management, Data Quality, Data Science, Waterfall Model

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