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 skilled 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 scoring, credit scoring models, claims automation or underwriting platforms.
- Experience in working with API documentation and integrations.
- Knowledge of process modeling tools (e.g., Lucidchart, Miro)

EDUCATION QUALIFICATION

- Graduate in Computer Science or AI and ML Engineering, Business Administration, or related field.
- AI/ML, Prompt Engineering, or Data Science certifications are an advantage

Process Skills:

- General SDLC processes, AI/ML development life cycles, and Agile delivery methodologies
- Understanding of utilizing Agile and Scrum software development methodologies
- Skill in gathering and documenting user requirements and writing technical specifications.

Behavioral Skills:

- Good Attitude and Quick learner.
- Well-developed design, analytical & problem-solving skills
- Strong oral and written communication skills
- Excellent team player, able to work with virtual teams.
- Self-motivated and capable of working independently with minimal management supervision.

Certification:

- Certifications like CBAP, PMI-PBA, CSPO, or SAFe POPM would be an added advantage.

📌 Business Analyst + AI/ML with IT Value Mapping (Hyderabad)
🏢 Cloudxtreme
📍 Hyderabad