Required Skills: LLM, BPMN, DMN, AI/ML, JIRA, Azure DevOps, GitLab, SQL

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.

• 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