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.
Sa Salary Range- $85,000-$105,000 a year
