Systems Integration Senior Specialist

NTT DATA North America; Dadri; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

NTT DATA North America is seeking an AI Business Analyst to elicit, document, and translate business requirements for AI, analytics, and automation initiatives in a technology-driven environment.

You will bridge business teams and AI/ML engineers, define KPIs, support dashboards, and participate in solution design, testing, and post-implementation improvements.

Qualifications

• 5+ years of experience 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 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

• 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.
• 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.
• 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.
• Monitor system performance, help troubleshoot issues, and recommend continuous improvements.

Skills

Requirements analysis & documentation

Process modelling

AI/ML concepts

Data analysis & visualization

Agile methodologies

Stakeholder management

Independent & leadership

Tools

Excel

SQL

Power BI

Tableau

JIRA

Confluence

Job description

AI Business Analyst – Job Description

Mandatory Requirements

• 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 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.