Overview
On Site
Contract - W2
Skills
Professional Services
Real-time
Data Architecture
Customer Experience
Cisco UCS
GAAP
WFM
Routing
Genesys
Cloud Computing
Migration
Collaboration
Artificial Intelligence
Machine Learning (ML)
Use Cases
Job Details
Our client, a large professional services firm located in Phoenix, AZ, is looking to hire a Genesys Data & AI Architect for a 12-month hybrid contract. The consultant will be supporting a contact center CCaaS migration and build and will be responsible for defining data strategy for migrating historical and real-time data to the cloud while ensuring minimal disruption to downstream systems.
The consultant will evaluate and recommend which data architecture that will minimize impact for downstream system during migration to CCaaS. The consultant will also work to identify opportunities to enhance customer experience using AI-intent detection, virtual assistants, predictive routing, sentiment analysis, and more.
Required Skills:
The consultant will evaluate and recommend which data architecture that will minimize impact for downstream system during migration to CCaaS. The consultant will also work to identify opportunities to enhance customer experience using AI-intent detection, virtual assistants, predictive routing, sentiment analysis, and more.
Required Skills:
- Must have Deep knowledge of Genesys (InfoMart, UCS, GAAP, SpeechMiner, WFM, Routing, etc.)
- Experience with Five9 data ecosystem
- Strong understand data models for Genesys (InfoMart, SpeechMiner) and develop mappings to cloud equivalents.
- Experience and knowledge on contact center migration to CCaaS and build data solution surrounding the migration
- Ability to collaborate with internal AI/ML teams to define data-driven automation use cases and implementation strategy.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.