Technical Business Analyst

Siri InfoSolutions Inc; Charlotte (NC); On-site; USD 70,000 - 90,000; Full time

Benefits offered by this job

Health insurance

Job summary

Siri InfoSolutions Inc is seeking a Technical Business Analyst to lead requirements sessions and translate business needs into detailed technical documentation for Employee Virtual Assistant capabilities. The role demands strong API, data mapping, and process-flow understanding to support developers and QA across the project lifecycle.

The analyst will create and maintain Jira epics and acceptance criteria, deliver on time, identify risks, and collaborate with cross-functional teams including

Qualifications

• Lead requirements gathering sessions with business partners, technology teams, and other stakeholders to define scope and success criteria for Employee Virtual Assistant capabilities.
• Create clear, thorough technical documentation, including business requirements, functional specs, process flows, data mappings, and integration details.
• Translate stakeholder requirements into actionable conversational AI design documents for developers, conversational designers, testers, and product stakeholders.
• Demonstrate understanding of APIs, web services, validation logic, exception handling, and data decisioning used to support virtual assistant experiences.
• Create and maintain Jira epics, stories, acceptance criteria, and supporting documentation defining expected behavior, business rules, dependencies, and testable success conditions.
• Deliver assigned work on time while identifying risks, blockers, and dependencies, and communicate status with mitigation plans.
• Communicate effectively with cross-functional 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 and user experience.
• Review and understand vendor tool workflows, including logic, branching conditions, decision rules, and basic code or configuration logic.
• Support quality assurance by reviewing requirements, validating behavior, identifying gaps or defects, assisting with test planning, and ensuring alignment with acceptance criteria.
• Analyze large data sets and dashboards (e.g., Tableau) to identify trends and recommend enhancements for virtual assistant effectiveness.
• Excel in clearly explaining complex technical and business concepts through written documentation, diagrams, charts, dashboards, and stakeholder discussions.

Responsibilities

• 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 criteria, 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.

Job description

Job Title :

Technical Business Analyst

Location:

Charlotte, NC (Onsite from first day-5 days per week)

Job Type :

Fulltime

Job Summary

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 criteria, 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.