Senior AI Business Analyst and Systems Integration Specialist

NTT DATA Global Delivery Services Ltd; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

NTT DATA Global Delivery Services Ltd is seeking a Systems Integration Senior Analyst AI Business Analyst to drive AI-driven analytics initiatives from requirements through post-implementation support. You will work across AI/ML teams, data science, product, and engineering to translate business needs into technical outcomes.

The role emphasizes KPI definition, dashboarding, and measurable value, with collaboration across stakeholders and rapid iterations in a dynamic environment.

Qualifications

• 5+ years of experience as Business/Systems Analyst in tech environments.
• Strong understanding of AI/ML concepts, data-driven decision making, analytics workflows.
• Experience across product development lifecycle including requirements, design, UAT, go-live, and post-implementation support.
• Ability to translate complex business processes into functional and technical requirements.
• Excellent communication and stakeholder management with cross-functional collaboration.
• Experience with data analysis, KPIs, dashboards, and deriving business value from analytics.
• Familiarity with predictive modelling, AI use cases, automation opportunities, and workflow optimization.

Responsibilities

• Elicit, gather, and document business requirements for AI, analytics, and automation initiatives.
• Translate business needs into functional specs, user stories, process flows, and acceptance criteria.
• Serve as the bridge between business teams, AI/ML teams, product owners, and engineering.
• Participate in solutioning workshops to align business needs with technical capabilities.
• Work with data scientists to translate business challenges into AI/ML use cases and measurable outcomes.
• Assist in model validation, data quality checks, feature inputs, and interpretation of model results.
• Define KPIs, measurement criteria, and success metrics for AI-driven processes.
• Support development of analytics dashboards, reporting frameworks, and decision-support tools.
• Support testing cycles including functional testing, UAT, and regression.
• Develop user guides, training materials, and conduct stakeholder training.
• Assist in project planning, tracking, documentation, and communication.
• Support integrations between AI systems, enterprise platforms, and third-party apps; monitor performance and advocate continuous improvements.
• Collaborate with cross-functional teams to ensure smooth product rollouts and enhancements.

Skills

Analysis & Documentation

Process Modelling

AI/ML concepts

Data Analysis & Visualization

Agile Methodologies

Stakeholder Management

Independent Work / Leadership

Tools

JIRA

Confluence

Job description

Systems Integration Senior Analyst AI Business Analyst – Job Description

5+ years of experience working as a Business Analyst or Systems Analyst in technology-driven environments. Strong understanding of AI/ML concepts , data-driven decision-making, analytics workflows, and modern digital platforms. Proven experience working across the product development lifecycle (requirements, design, UAT, go-live, and post-implementation support). Ability to understand, analyze, and translate complex business processes into functional and technical requirements . Strong analytical mindset with the ability to research, interpret, and present insights to drive business solutions. Excellent communication and interpersonal skills , capable of working with stakeholders at all organizational levels. Experience with data analysis , KPI definition, dashboarding, and converting analytical findings into business value. Familiarity with predictive modelling, AI solution use cases, automation opportunities, and workflow optimization. Experience collaborating with engineering, QA, data science, and product teams in fast-paced environments.

Responsibilities

Business Analysis & Requirements Elicit, gather, and document business requirements for AI, analytics, and automation initiatives. Convert business needs into functional specifications, user stories, process flows , and acceptance criteria. Serve as the bridge between business teams, AI/ML teams, product owners, and engineering . Participate in solutioning workshops to align business needs with technical capabilities. AI/ML & Data Solution Support Work with data scientists to translate business challenges into AI/ML use cases and measurable outcomes. Assist in model validation, data quality checks, feature inputs, and business interpretation of model results. Help define KPIs, measurement criteria, and success metrics for AI-driven processes. Support development of analytics dashboards, reporting frameworks, and decision-support tools. Project Execution & Collaboration Support solution design activities including process optimization, automation, and data transformation. Perform data analysis, validation, mapping, and transformation for system inputs/outputs. Participate in and support all testing cycles including functional testing, UAT, and regression . Develop user guides, training materials, and conduct stakeholder training sessions . Assist in project planning, tracking activities, documentation preparation, and project communication. Implementation & Post-Implementation Support integrations between AI systems, enterprise platforms, and third-party applications. Monitor system performance, help troubleshoot issues, and recommend continuous improvements. Work with cross-functional teams to ensure smooth product rollouts and enhancements.

Key Skills Requirements

analysis & documentation Process modelling (BPMN, flowcharts, user journeys) AI/ML concepts (basic understanding of models, data pipelines, automation logic) Data analysis & visualization (Excel, SQL, Power BI, Tableau) Agile methodologies, JIRA/Confluence Strong problem-solving and stakeholder management skills Ability to work independently and lead cross-functional discussions

Optional / Good-to-Have Experience

Experience in RPA, intelligent automation, or conversational AI. Background in product-based or platform-based solution design. Exposure to cloud platforms (Azure, AWS, GCP). Certifications in Business Analysis (CBAP, CCBA), Product Ownership, or Agile. Experience Level Senior Level