Business Analyst

Job Description • Define and document Business Goals, Business Objectives, and Business Impact Statements in alignment with organizational strategy and regulatory requirements. • Conduct current state analysis, gap analysis, and future state mapping to support AI/ML and digital transformation initiatives. • Lead the creation of comprehensive Business Requirements Documents (BRD), Functional Requirements Documents (FRD), and System Requirements Specifications (SRS). • Collaborate with Product Owners and business stakeholders to define and maintain Product Goals, Initiatives, Epics, Features, User Stories, and Tasks. • Drive Backlog Grooming, Sprint Planning, and Sprint Review sessions to ensure clarity, prioritization, and alignment. • Apply Prompt Engineering techniques in AI-driven projects, helping optimize prompts for business-facing LLM applications and model interactions. • Maintain and manage traceability matrices to track requirements from conception throughto implementation and validation. • Perform data analysis and profiling to support AI initiatives, working with large and complex datasets. • Create a feedback loop to regularly verify the product's generated output and enhance its accuracy. • Proficiency in BPMN and DMN standards for modeling business processes and decision logic, using tools like Camunda, Signavio, or Bizagi. • Capture business rules, data dictionaries, and AI model governance guidelines in collaboration with data scientists and compliance teams. • Serve as the liaison between business users, AI/ML engineers, data scientists, product managers, and development teams, collaborating with both business and technical teams to ensure all requirements are value-driven, feasible, and AI-ready. • Organize and lead stakeholder workshops, discovery sessions, UAT demos, and executive briefings. • Proficiency with: Wireframes, Mock Ups, Process Mapping, Visio, and MS Office Suite as applicable for the team • Progressive documented experience integrating business technology in a comparable technical environment. Technical / Business Skills: • 8+ years of business analysis experience, preferably with AI/ML-driven projects. • Mandatory experience in Banking Services and/or Insurance and/or Logistics • Knowledge of AI Model Development Life Cycle (AI/ML lifecycle management). • Proven experience in creating and managing Product Goals, Initiatives, Epics, Features, User Stories, and Tasks in Agile tools like JIRA, Azure DevOps, and GitLab. • Solid experience in Prompt Engineering fundamentals, AI prompt design, and AI/LLM integrations in enterprise use cases. • Expertise in writing BRDs, FRDs, user stories with acceptance criteria, and traceability metrices • Strong data analysis skills (SQL querying, data profiling, reporting, and visual analysis) • Proficiency in BPMN and DMN standards for modeling business processes and decision logic. • Demonstrate strong logical reasoning and problem-solving skills