Tap Growth Ai Hiring! Full Time AI Business Systems Analyst in - Ricebowl

We are seeking an experienced AI Business Systems Analyst with 6+ years of experience in data architecture, AI/NLP use case design, and enterprise analytics platforms. This role will bridge business, regulatory, and technical teams by translating complex requirements into scalable, AI-driven solutions, with a focus on NLP-powered analytics and enterprise data ecosystems.

The ideal candidate has strong expertise in data lake and data warehouse architectures, unstructured data processing, and AI/NLP implementations, and is comfortable operating in regulated industries such as banking and financial services.

• Analyze business, regulatory, and compliance requirements and translate them into AI-enabled and scalable technical solutions
• Design and define enterprise data architectures supporting AI/NLP use cases across data lake and data warehouse platforms
• Convert business needs into NLP-driven analytical use cases, including:
  • Text classification and categorization
  • Named entity recognition
  • Risk indicator identification
  • Document and case summarization
    
    
• Establish data ingestion, curation, and governance strategies for both structured and unstructured data
• Define logical data layers and data models to support analytics, reporting, and AI/ML workloads
• Support effort estimation, project scoping, and delivery planning for AI and analytics initiatives
• Communicate complex technical and AI concepts clearly to business stakeholders and senior leadership
• Review and validate test strategies, functional test cases, and data validation frameworks
• Collaborate with data engineers, data scientists, and business analysts to ensure end-to-end solution alignment
• Ensure adherence to data governance, risk, and compliance standards within AI solutions
• Identify opportunities to enhance business processes through AI/NLP-driven automation and insights
• Facilitate requirements workshops and stakeholder discussions to define solution scope
  
  

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field
• Minimum 6+ years of experience in business systems analysis, AI systems, or data/analytics roles
• Strong experience in data architecture (Data Lake & Data Warehouse environments)
• Hands-on experience designing or supporting AI/NLP use cases, such as:
  • Text classification
  • Entity extraction
  • Document summarization
  • Risk or insight generation
    
    
• Proven ability to translate business requirements into technical and AI solutions
• Experience in project estimation, planning, and delivery coordination
• Strong stakeholder management and communication skills, with ability to simplify complex concepts
• Experience reviewing test strategies and validation approaches for data and AI systems
• Solid understanding of enterprise data platforms and data lifecycle management
• Familiarity with unstructured data processing and large-scale data systems
• Experience working in regulated industries (banking, financial services, or similar) preferred
• Knowledge of risk, governance, and compliance frameworks in data and AI systems
• Exposure to AI/NLP tools or frameworks (e.g., LLMs, NLP pipelines, or analytics platforms) is an advantage
  
  
  

Ready to take your career to the next level? Apply now and be part of our innovative journey!