Systems Integration Senior Specialist

NTT DATA, Inc.; India; On-site; INR 900,000 - 1,500,000; Full time

Job summary

NTT DATA, Inc. is seeking a seasoned Business Analyst or Systems Analyst to drive AI, analytics, and automation initiatives. The role spans the product development lifecycle, shaping requirements and bridging business units with AI/ML and engineering teams.

You will define KPIs, support dashboards, and help translate complex processes into technical specs while collaborating with data scientists and stakeholders across the organization. The position emphasizes analytical rigor and communication.

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, post-implementation support).
• Ability to 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 levels.
• Experience with data analysis, KPI definition, dashboarding, and converting findings into business value.
• Familiarity with predictive modelling, AI solution use cases, automation opportunities, and workflow optimization.

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.
• 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 challenges into AI/ML use cases and measurable outcomes.
• Assist in model validation, data quality checks, feature inputs, and interpretation of results.
• 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 testing cycles including functional testing, UAT, and regression.
• Develop user guides and training materials; conduct stakeholder training sessions.
• Assist in project planning, tracking, documentation, and communication.

Skills

AI/ML concepts

Data analysis

KPIs & dashboards

Stakeholder management

Analytical mindset

Tools

SQL

Power BI

Tableau

Excel

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.
• Assistin 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 .
• Assistin 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.

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