Business Analyst + AI/ML with IT Value Mapping

Cloudxtreme

Hyderabad, Pune District, Bengaluru

Hybrid

INR 1,400,000 - 2,200,000

Full time

14 days+
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Job summary

Cloudxtreme is seeking a Senior Business Analyst with 6+ years of hands-on experience in business analysis, requirements management, and enterprise solution delivery. The role emphasizes AI/ML initiatives, prompt engineering, and working in regulated data environments to translate complex business needs into actionable requirements.

This role drives E2E IT value stream mapping and collaborates with product, technology, and compliance teams to ensure AI lifecycles are effectively governed across

Qualifications

  • Lead End-to-End IT value stream mapping initiatives across CIO organization.
  • Define and document Business Goals, Objectives, and Business Impact Statements.
  • Conduct current state and future state analyses for AI/ML initiatives.
  • Create BRD, FRD, and SRS documents.
  • Define Product Goals, Initiatives, Epics, Features, User Stories, and Tasks with stakeholders.
  • Drive backlog grooming, sprint planning, and reviews.
  • Apply Prompt Engineering in AI projects.
  • Maintain traceability matrices.
  • Collaborate with teams to ensure requirements are value-driven and AI-ready.
  • Perform data analysis and profiling for AI/ML datasets.
  • Support AI/ML lifecycle stages from problem definition to deployment readiness.
  • Produce process flows, data flow diagrams, use cases, manuals, and release notes.
  • Capture business rules and data dictionaries with governance.
  • Liaise between business users, AI/ML engineers, data scientists, product managers, and dev teams.
  • Organize stakeholder workshops, discovery sessions, UAT demos.
  • Foster partnerships across product, tech, operations, compliance.

Responsibilities

  • Lead End-to-End IT value stream mapping initiatives across the CIO organization.
  • Define and document Business Goals, Objectives, and Business Impact Statements.
  • Conduct current state analysis, gap analysis, and future state mapping for AI/ML initiatives.
  • Lead the creation of BRD, FRD, and SRS documents.
  • Collaborate with Product Owners and stakeholders to define Product Goals, Initiatives, Epics, Features, User Stories, and Tasks.
  • Drive Backlog Grooming, Sprint Planning, and Sprint Reviews.
  • Apply Prompt Engineering techniques in AI-driven projects.
  • Maintain and manage traceability matrices to track requirements.
  • Partner with business and technical teams to ensure requirements are value-driven and AI-ready.
  • Perform data analysis and profiling for AI/ML datasets from banking, insurance, logistics domains.
  • Collaborate with AI/ML teams on problem framing, feature engineering, and model evaluation criteria.
  • Contribute to AI/ML lifecycle stages from problem definition to deployment readiness.
  • Author Process Flow Diagrams, Data Flow Diagrams, Use Cases, User Manuals, Release Notes.
  • Capture business rules, data dictionaries, and governance guidelines with data scientists and compliance teams.
  • Act as a liaison between business users, AI/ML engineers, data scientists, product managers, and development teams.
  • Organize stakeholder workshops, discovery sessions, UAT demos, and executive briefings.
  • Foster partnerships across product, technology, operations, and compliance teams.

Skills

E2E IT Mapping
BRD/FRD/SRS
Product Goals
Backlog Grooming
Prompt Engineering
AI/LLM integration
Data Analysis
Stakeholder facilitation
Agile/Scrum
SQL

Education

Bachelor in CS/AI/ML
AI/ML Certifications

Tools

JIRA
Azure DevOps
GitLab

Job description

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 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.
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