Senior Business Analyst - AI, Analytics & Automation

About the role

NTT DATA is seeking a Senior Business Analyst – AI, Analytics & Automation to join our team in Dallas, Texas (US-TX), United States (US).

Responsibilities

• Business Analysis & Requirements
  • Lead elicitation, analysis, documentation, and validation of business requirements for AI, analytics, automation, and digital transformation initiatives.
  • Translate business needs into functional requirements, user stories, process flows, use cases, and acceptance criteria.
  • Act as the primary bridge between business stakeholders, Product Owners, data scientists, AI/ML teams, engineering, and QA.
  • Facilitate requirements-gathering and solutioning workshops to align business objectives with technical capabilities.
  • Analyze existing business processes and identify opportunities for optimization, automation, and AI-driven improvements.
• AI/ML & Data Solution Support
  • Collaborate with data scientists and AI/ML teams to translate business challenges into practical AI/ML use cases and measurable business outcomes.
  • Support AI solution development by assisting with data validation, feature inputs, model validation, and interpretation of model outputs.
  • Help define KPIs, business metrics, measurement frameworks, and success criteria for AI and analytics initiatives.
  • Analyze data to identify trends, opportunities, anomalies, and insights that support business decision-making.
  • Support the development of analytics dashboards, reporting frameworks, and decision-support solutions.
  • Evaluate AI, automation, and analytics solutions from a business and user perspective to ensure they address defined business objectives.
• Solution Design & Project Execution
  • Support solution design activities involving process optimization, intelligent automation, data transformation, and system integration.
  • Perform data analysis, mapping, validation, transformation, and reconciliation for system inputs and outputs.
  • Work closely with technical teams to define functional requirements, integration requirements, and data flows.
  • Participate throughout the product development lifecycle, including requirements, design, development, testing, implementation, and post-production support.
  • Support functional testing, System Integration Testing (SIT), User Acceptance Testing (UAT), and regression testing.
  • Develop test scenarios, validate results, document defects, and coordinate issue resolution with technical teams.
  • Prepare project documentation, requirements artifacts, process documentation, and implementation materials.
  • Support project planning, status tracking, risk and issue management, and stakeholder communications.
• Implementation & Post-Implementation Support
  • Support integrations between AI/ML solutions, enterprise applications, data platforms, and third-party systems.
  • Assist with production readiness, implementation planning, and successful deployment of new solutions and enhancements.
  • Monitor solution performance and business outcomes following implementation.
  • Analyze production issues, support root-cause analysis, and recommend corrective actions and enhancements.
  • Work with cross-functional teams to ensure successful product rollouts, adoption, and continuous improvement.
  • Develop user guides and training materials and conduct stakeholder training as required.

Requirements

• Basic Qualifications
  • 8+ years of experience as a Business Analyst, Systems Analyst, Product Analyst, or equivalent role in technology-driven environments.
  • 3+ years of experience working with AI/ML concepts, data-driven decision-making, analytics, automation, or modern digital platforms.
  • 5+ years of experience working across the full product/software development lifecycle, including requirements, solution design, testing, UAT, implementation, go-live, and post-production support.
  • 5+ years of experience analyzing complex business processes and translating business needs into functional and technical requirements.
  • 5+ years of experience performing data analysis, defining KPIs, developing or supporting dashboards, and translating analytical findings into actionable business outcomes.
  • 5+ years of experience working with cross-functional teams including engineering, QA, product, data science, and business stakeholders.
  • 5+ years of experience with process analysis, workflow optimization, and identifying opportunities for automation and digital transformation.
  • Strong understanding of predictive modeling, AI/ML use cases, analytics workflows, intelligent automation, and data-driven solutions.
  • Strong analytical and problem-solving skills, with the ability to research complex topics, interpret data, identify insights, and make recommendations.
  • Excellent communication, presentation, facilitation, and stakeholder management skills, with the ability to work effectively at all organizational levels.
• Preferred Qualifications
  • 4+ years of experience with RPA, Intelligent Automation, or AI-enabled process automation, preferably within the healthcare industry.
  • 3+ years of experience or exposure to major cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP).
  • Experience working with AI/ML products, analytics platforms, SaaS solutions, or enterprise data platforms.
  • Experience in product-based or platform-based solution development.
  • Healthcare domain experience, particularly in Payer, Provider, Revenue Cycle Management (RCM), Coordination of Benefits (COB), healthcare analytics, or related areas.
  • Experience supporting Generative AI, Agentic AI, Intelligent Automation, or AI-assisted business processes.
  • Experience developing business cases, ROI analyses, solution roadmaps, or proposals for AI and automation initiatives.
  • Certifications such as CBAP, CCBA, PMI-PBA, Product Owner, Scrum, or other Agile/Business Analysis certifications are an asset.

Pay

The starting pay range for this remote role is $77,800–$144,860. Actual compensation will depend on factors including the candidate’s work location, relevant experience, technical skills, and other qualifications.

Benefits

• Medical, dental, and vision insurance with an employer contribution
• Flexible spending or health savings account
• Life and AD&D insurance
• Short- and long-term disability coverage
• Paid time off
• Employee assistance program
• 401k program with company match
• Additional voluntary or legally-required benefits