Business Analyst + AI/ML with IT Value Mapping

POSITION / TITLE: Business Analyst

Location: Offshore Hyderabad/Bangalore/Pune

Exp: 10+Years

Who are we looking for?

We are seeking an experienced Senior Business Analyst with 6+ years of hands-on experience in business analysis, requirements management, and enterprise solution delivery. The ideal candidate will have a solid grasp of AI/ML-powered product initiatives, Prompt Engineering fundamentals, Agile methodologies, and business impact analysis.

This role requires someone strategic and structured, capable of translating complex business needs, especially in regulated, data-driven industries, into actionable requirements, while driving stakeholder alignment and supporting AI model lifecycle processes. Previously worked in Banking and/or Insurance and/or logistics domains would be added advantage.

Responsibilities:

Technical Skills Must have:

• Seeking a highly analytical and strategic professional to lead End-to-End (E2E) IT Value Stream Mapping initiatives across the CIO organization, followed by industry-specific mappings in Mortgage and Healthcare domains. This role is pivotal in identifying inefficiencies, optimizing IT delivery processes, and aligning technology investments with business outcomes.
• 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 through to implementation and validation.
• Partner with business and technical teams to ensure all requirements are value-driven, feasible, and AI-ready.
• Perform data analysis and profiling to support AI/ML initiatives, working with large and complex datasets from systems like banking, insurance or logistics systems (claims data, transactions, underwriting data, etc.).
• Collaborate with AI/ML teams on problem framing, feature engineering requirements, model evaluation criteria, and business validation of AI outputs.
• Contribute to AI/ML project lifecycle stages: Business Understanding & Problem Definition, Data Collection & Preparation, Model Design & Validation Requirements, Business Acceptance Testing (BAT) & Deployment Readiness, Post-deployment Business Monitoring and Feedback.
• Author and maintain Process Flow Diagrams, Data Flow Diagrams (DFD), Use Cases, User Manuals, and Release Notes.
• Capture business rules, data dictionaries, and AI model governance guidelines in collaboration with data scientists and compliance teams..
• Act as a liaison between business users, AI/ML engineers, data scientists, product managers, and development teams.
• Organize and lead stakeholder workshops, discovery sessions, UAT demos, and executive briefings.
• Foster strong partnerships across product, technology, operations, and compliance teams.

Technical Skills :

• 6+ years of business analysis experience, preferably with AI/ML-driven projects.
• Mandatory experience in Banking Services and/or Insurance and/or Logistics
• Deep 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 matrices.
• Strong data analysis skills (SQL querying, data profiling, reporting, and visual analysis)

OTHER SKILLS WE’D APPRECIATE

• Exposure to AI/ML frameworks, LLM tools, and MLOps processes.
• Familiarity with Binary preference scor…