全职 AI System Analyst Jobs, in Ampstek - Ricebowl

• Perform detailed effort estimation for projects and change requests.

• Communicate complex technical and architectural concepts to business and senior stakeholders in a clear, simplified manner

• Review and approve test strategies, functional test cases, and data validation approaches.

• Experience translating business and compliance requirements into NLP enabled analytical use cases, such as: Text classification and categorization, Entity extraction, Risk indicator identification, Summarization of alerts, cases, or documents

• Ability to translate business, regulatory, and analytics requirements into logical data layering and curation strategies that support reporting, analytics, and AI/NLP use cases

• Analyze business and regulatory requirements and translate them into scalable solution designs.

• Perform detailed effort estimation for projects and change requests.

• Communicate complex technical and architectural concepts to business and senior stakeholders in a clear, simplified manner

• Review and approve test strategies, functional test cases, and data validation approaches.

• Ability to design data architectures supporting NLP and AI driven analytics, including ingestion, curation, and governance of unstructured data within Data Lake, Data warehouse platforms.

• Experience translating business and compliance requirements into NLP enabled analytical use cases, such as: Text classification and categorization, Entity extraction, Risk indicator identification, Summarization of alerts, cases, or documents

• Ability to translate business, regulatory, and analytics requirements into logical data layering and curation strategies that support reporting, analytics, and AI/NLP use cases

Total Experience

10+ yrs

Relevant Experience

6+ yrs

Mandatory skills

• Data architecture (Data Lake & Data Warehouse)

• NLP & AI use case design (text classification, entity extraction, summarization)

• Requirements analysis & solution design

• Stakeholder communication & management

• Effort estimation & project planning

• Test strategy & data validation review

• Enterprise data platform experience

Desired skills

• Regulatory & compliance domain knowledge

• Data curation & data layering strategies

• Unstructured data processing

• Risk management & governance

• Banking domain experience

• AI/NLP-based analytics implementation