AI Product Analyst

NOVARTIS

2 - 3 years

11 - 13 Lacs

mumbai

Posted:23 hours ago| Platform:

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Skills Required

process automation data dictionary metadata data modeling process analyst business process mapping data quality continuous improvement operations analytics

Work Mode

Work from Office

Job Type

Full Time

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

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