Business Analyst

Tata Consultancy Services; Charlotte (NC); On-site; USD 90,000 - 120,000; Full time

Job summary

Tata Consultancy Services in Charlotte, NC is seeking a skilled professional to lead requirements gathering and translate business needs into actionable conversational AI design documents for employee virtual assistant initiatives.

You will create comprehensive technical documentation, manage Jira epics and stories, and collaborate with product, engineering, QA, and vendor partners to deliver high-quality experiences.

Qualifications

• Strong ability to translate business needs into actionable AI design artifacts.
• Experience creating business requirements, functional specs, and data mappings.
• Excellent written and verbal communication for cross-functional teams.

Responsibilities

• Lead requirements gathering sessions with business partners, technology teams, and stakeholders to define scope and success criteria.
• Create technical documentation including business requirements, functional specs, process flows, and data mappings.
• Translate requirements into conversational AI design documents for developers and designers.
• Demonstrate understanding of APIs, web services, and data decisioning logic.
• Create and maintain Jira epics, stories, and acceptance criteria with clear behavior and testable success conditions.
• Deliver work on time and communicate status, identifying risks and blockers.
• Communicate with cross-functional teams including product owners, developers, QA, partners, and leadership.
• Apply analytical and systems-thinking to understand processes and user journeys.
• Support conversational AI design to improve answer effectiveness and user experience.
• Review vendor tool workflows and basic code or configuration logic.
• Support QA by validating requirements and test planning.
• Analyze large data sets and Tableau dashboards to identify trends and opportunities.

Skills

Analytical thinking

Stakeholder management

Technical documentation

Systems thinking

Tools

Jira

Tableau

Job description

• Lead requirements gathering sessions with business partners, technology teams, and other stakeholders to define scope, objectives, business needs, success criteria, and implementation considerations for Employee Virtual Assistant capabilities.
• Create clear, thorough, and well-structured technical documentation, including business requirements, functional specifications, process flows, conversational design documents, decisioning logic, data mappings, and integration details.
• Translate stakeholder requirements into actionable conversational AI design documents that enable developers, conversational designers, testers, and product stakeholders to deliver high-quality virtual assistant experiences.
• Demonstrate a clear understanding of APIs, web services, request and response structures, validation logic, exception handling, and data decisioning logic used to support virtual assistant experiences.
• Create and maintain Jira epics, stories, acceptance cr iteria, and supporting documentation that clearly define expected behavior, user outcomes, business rules, dependencies, and testable success conditions.
• Deliver assigned work on time while proactively identifying risks, blockers, and dependencies; communicate status clearly and contribute to mitigation plans that keep projects moving forward.
• Communicate effectively with cross-functional technical and non-technical teams, including product owners, developers, QA resources, business partners, vendor partners, and leadership stakeholders.
• Apply analytical and systems-thinking skills to understand business processes, technical impacts, user journeys, and operational dependencies within a virtual assistant ecosystem.
• Support conversational AI design efforts by applying strategies that improve answer effectiveness, reduce friction, and deliver a strong user experience that contributes to high customer satisfaction.
• Review and understand business processes configured within vendor tools, including the ability to interpret workflow logic, branching conditions, decision rules, and basic code or configuration logic.
• Support quality assurance by reviewing requirements, validating expected behavior, identifying gaps or defects, assisting with test planning, and ensuring delivered functionality aligns to documented acceptance criteria.
• Analyze large data sets, operational metrics, and dashboards such as Tableau to identify trends, prioritize opportunities, and recommend enhancements that improve virtual assistant effectiveness and technology issue resolution.
• Excellent communication skills, including the ability to explain complex technical and business concepts through written documentation, diagrams, charts, dashboards, presentations, and stakeholder discussions.