Consultant for CCaaS platforms focusing on Customer Experience projects and training stakeholders. Collaborating on operational models, AI solutions, and CCaaS platform configurations.
Map customer service journeys (voice and digital), including: main path and exceptions, business rules, handoffs and escalations, fallback and contingency rules, and define functional requirements and acceptance criteria (UAT)
CCaaS platform configuration (transferable skills). Working with platforms such as: Amazon Connect, Genesys Cloud, NICE CXone, Google CCAI Platform, Five9, Twilio Flex or similar
CCaaS platform responsibilities include: building flows (IVR, callbacks, schedules, transfers/overflows); configuring queues and routing by skill/attribute; defining operating hours and special rules; configuring access profiles (admin, supervisor, agent); logical organization and environment documentation. Not responsible for advanced development (APIs/Lambda/custom code), but must specify requirements and validate them with engineering
Translate performance gaps into flow and routing adjustments
Develop and deliver training for: Agents (platform use and service logic); Supervisors (monitoring, intervention, reporting); Quality (evaluation and calibration); Planning/WFM (operational impacts); Managers (KPIs and governance); Client technical team (functional admin and handover)
Participate in the design of generative AI solutions for customer service and apply principles such as: structured prompt engineering, definition of boundaries and human fallback, basic guardrails (security, scope, compliance), AI evaluation metrics (perceived accuracy, escalation rate, operational impact), and ensure responsible use of AI (LGPD, privacy, bias management)
Map customer service journeys (voice and digital), including: main path and exceptions, business rules, handoffs and escalations, fallback and contingency rules, and define functional requirements and acceptance criteria (UAT)
CCaaS platform configuration (transferable skills). Working with platforms such as: Amazon Connect, Genesys Cloud, NICE CXone, Google CCAI Platform, Five9, Twilio Flex or similar
CCaaS platform responsibilities include: building flows (IVR, callbacks, schedules, transfers/overflows); configuring queues and routing by skill/attribute; defining operating hours and special rules; configuring access profiles (admin, supervisor, agent); logical organization and environment documentation. Not responsible for advanced development (APIs/Lambda/custom code), but must specify requirements and validate them with engineering
Translate performance gaps into flow and routing adjustments
Develop and deliver training for: Agents (platform use and service logic); Supervisors (monitoring, intervention, reporting); Quality (evaluation and calibration); Planning/WFM (operational impacts); Managers (KPIs and governance); Client technical team (functional admin and handover)
Participate in the design of generative AI solutions for customer service and apply principles such as: structured prompt engineering, definition of boundaries and human fallback, basic guardrails (security, scope, compliance), AI evaluation metrics (perceived accuracy, escalation rate, operational impact), and ensure responsible use of AI (LGPD, privacy, bias management)
Benefits
Strong experience in CX or customer service transformation projects
Hands-on experience with at least one CCaaS platform: Amazon Connect, Genesys Cloud, NICE CXone, Google CCAI Platform, Five9, Twilio Flex or similar
Solid understanding of routing concepts, queues, SLAs and contact center operations
Experience designing flows and service rules
Facilitation skills and ability to train multiple audiences
Practical knowledge of AI applied to customer service
Differentials: previous experience with Amazon Connect; experience with Contact Lens / analytics / quality; familiarity with CRM systems (Salesforce, Zendesk, etc.); experience in consultancies or system integrators
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