Senior Business Analyst - AI, Analytics & Automation

Req ID: 387825 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Senior Business Analyst - AI, Analytics & Automation to join our team in Dallas, Texas (US-TX), United States (US).

Senior Business Analyst – AI, Analytics & Automation

Day-to-Day Job Duties & Responsibilities

Business Analysis & Requirements

• Lead the 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.

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 Transparency

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $77,800-$144,860. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. 

This position is eligible for company benefits including 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, participation in a 401k program with company match, and additional voluntary or legally-required benefits. 

About NTT DATA

NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services.  Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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