About this role
Quantiphi seeks a Senior Business Analyst - Conversational AI for its delivery team. The role focuses on designing a virtual agent’s user experience so its conversations are engaging, useful to end users and consistent with the customer’s brand. The stated work location is India (Mumbai, Bangalore); the job listing identifies its Mumbai Eureka location. Quantiphi describes its work culture as hybrid. This is a full-time role requiring 3 to 6 years of experience.
Responsibilities
- Gather and analyze customer requirements, define virtual-agent use cases and determine analytical requirements.
- Translate business requirements into natural dialogue flows informed by UX research and design practices; iteratively design conversations between users and the virtual agent.
- Lead preparation of functional and technical specifications, acting as a liaison between business customers, stakeholders, project teams and developers throughout the project lifecycle.
- Advise customers on technology evaluation and direction for Conversational AI projects. Promote delivery standards, technology roadmaps and agile development practices, and manage customer communications and relationships.
Required qualifications
- Experience in at least one of analytics, Conversational AI, linguistics, copywriting, UX design or product design.
- Strong communication, articulation, abstraction, analytical and presentation skills; aptitude for business analysis and awareness of quantitative analysis techniques.
- Ability to work with minimal supervision under time-sensitive conditions and support decisions with customer, industry or market research.
Preferred qualifications
- Experience with bot platforms such as Dialogflow/API.AI, Cloud ML, Microsoft Bot Framework, Azure Cognitive Services, Amazon Lex, IBM Watson, Wit.ai or Salesforce Einstein in a project manager, analyst or consultant capacity.
- Understanding of natural language understanding, sentiment analysis, personality insight, generative AI and conversational interfaces, including service integration, configuration, training and continuous learning. Familiarity with text-to-speech and speech-to-text processing, and PMP or PSM certification, are also desirable.
Skills for this role
Conversational AIConversation designBusiness analysisRequirements gatheringUX researchUX designProduct designLinguisticsCopywritingAnalyticsQuantitative analysisCustomer researchAgile developmentStakeholder managementCommunicationPresentationDialogflowCloud MLMicrosoft Bot FrameworkAzure Cognitive ServicesAmazon LexIBM WatsonWit.aiSalesforce EinsteinNatural language understandingSentiment analysisGenerative AIText-to-speechSpeech-to-textPMP certification