Senior Business Analyst

Overview

The Senior Business Analyst works closely with Data Science, AI Engineering, Product Owners and business teams to support the development and delivery of AI/ML and Agentic AI solutions, translating business requirements into detailed user stories and supporting model evaluation and Agile delivery.

What you'll do

• Engage with business stakeholders to gather, analyse and document requirements for AI/ML and Agentic AI solutions.
• Translate business needs into well-defined technical requirements for Data Science, including epics, user stories and acceptance criteria.
• Work with Data Scientists and AI Engineers to understand business rules, data requirements, expected outputs and solution workflows.
• Define business scenarios, exception handling and success criteria for AI-driven solutions.
• Support the definition of requirements for AI agents, including agent responsibilities, workflow orchestration, tool interactions and human-in-the-loop processes.
• Identify data dependencies, integration requirements and potential solution limitations with technical teams.
• Coordinate with business teams to define sampling methodologies and prepare representative Golden Datasets for model training and evaluation.
• Work with Data Scientists to define evaluation criteria and business success metrics, including precision, recall, accuracy and automation rates.
• Support model output validation, error analysis and business acceptance testing.
• Analyse discrepancies between expected and actual AI outputs and coordinate corrective actions.
• Ensure requirements consider data privacy, security, bias, fairness, explainability, transparency and appropriate human oversight.
• Work with Data Science, Security, Risk and Compliance teams to identify, document and track AI-related risks and mitigating controls.
• Support AI governance and model approval documentation, risk assessments and auditability.
• Document and validate data schemas, data mappings, JSON, XML/XSD and API integration requirements.
• Use Postman or similar API testing tools to validate API requests, responses and integrations with engineering and QA teams.
• Prepare process flow diagrams, data flow diagrams, functional specifications and technical requirement documentation.
• Define measurable AI/ML and GenAI-specific non-functional requirements with architects and engineers.
• Maintain requirements, user stories, acceptance criteria and project documentation using Jira and Confluence.

What you'll need

• Bachelor's degree in Business Administration, Information Systems, Computer Science, Information Technology, Engineering, Data Science, Mathematics, Statistics, or a related discipline.
• Minimum 5 years of professional experience as a Business Analyst, including requirements gathering, process analysis, user stories, acceptance criteria, stakeholder management and Agile delivery for technology or data-driven projects.
• Good understanding of business analysis principles, requirements gathering and documentation.
• Experience working in Agile/Scrum development environments.
• Ability to prepare detailed user stories, acceptance criteria, business rules and process documentation.
• Strong stakeholder management, communication and problem-solving skills.
• Experience using Jira, Confluence and Microsoft Excel.
• Understanding of data processing, data mapping and data quality principles.
• Familiarity with JSON, XML, XSD, APIs and system integrations.
• Familiarity with Postman or comparable API testing tools for request/response validation.
• Ability to understand data flow diagrams, system architecture and technical workflows.
• Experience eliciting, documenting and validating non-functional requirements, including AI/ML and GenAI-specific performance, quality, security and monitoring needs.
• Foundational understanding of Artificial Intelligence, Machine Learning and Generative AI concepts.
• Awareness of Large Language Models (LLMs), prompt engineering and AI-powered automation.
• Basic understanding of Agentic AI concepts, including AI agents, tool calling, workflow orchestration and autonomous task execution.
• Familiarity with AI model evaluation, data sampling, Golden Datasets and performance metrics.
• Understanding of AI solution limitations, output validation, human oversight and responsible AI principles.
• Awareness of Responsible AI principles, including data privacy, fairness, bias mitigation, transparency, explainability and accountability.
• Familiarity with AI risk assessments, governance documentation, model approval processes, audit trails and human-in-the-loop controls.

Nice to have

• Basic understanding of Python and its applications in data analysis and automation would be beneficial.
• Previous experience working with Data Science, Machine Learning or AI development teams.
• Exposure to Generative AI or Agentic AI projects.
• Familiarity with Retrieval-Augmented Generation (RAG), vector databases or LLM-based applications.
• Experience supporting document extraction, intelligent document processing or workflow automation projects.
• Understanding of model evaluation frameworks, prompt testing and AI output quality assessment.
• Exposure to Python-based data analysis or automation tools.

Details

• Location: Bangalore, India (Tower E, RMZ Infin).
• Career stage: Senior Associate.