Systems Integration Senior Analyst

NTT DATA, Inc.; Butlerville (IN); On-site; USD 90,000 - 130,000; Full time

Job summary

NTT DATA, Inc. in Indiana is seeking an experienced AI Business Analyst to drive requirements for analytics and automation initiatives. You will collaborate with data scientists, product teams, and engineers to translate business needs into actionable specifications.

The role emphasizes cross-functional collaboration, KPI definition, and the design of dashboards and decision-support tools, with a focus on AI/ML use cases and measurable outcomes for our technology-driven projects.

Qualifications

• 5+ years of Business Analyst or Systems Analyst experience in technology-driven environments.
• Strong understanding of AI/ML concepts, data-driven decision-making, analytics workflows, and modern digital platforms.
• 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.
• Excellent communication and interpersonal skills for stakeholders at all levels.

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 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 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, training materials, and conduct stakeholder training sessions.
• Assist in project planning, tracking activities, documentation, and communication.
• Support integrations between AI systems, enterprise platforms, and third-party applications.
• Monitor system performance, troubleshoot issues, and recommend improvements.
• Work with cross-functional teams to ensure smooth product rollouts and enhancements.

Tools

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.