Contact Center Operations Generalist, Business Transformation Architecture

This role focuses on leading client-facing transformation efforts to modernize contact center operations using AI-enabled service capabilities. The generalist will advise on target operating models, process redesign, and the adoption of CCaaS platforms and AI features like agent assist, summarization, and intelligent routing, aiming for measurable business outcomes in customer experience and efficiency.

What you'd actually do

  1. Lead contact center strategy, transformation, and optimization programs
  2. Shape target operating models, solution roadmaps, and implementation approaches
  3. Advise on CCaaS platform selection, design, and deployment
  4. Design and govern AI-enabled service operations use cases
  5. Drive measurable improvements in customer experience, efficiency, and quality

Skills

Required

  • 10+ years of experience in contact center operations, customer service operations, and/or contact center transformation (consulting and/or industry)
  • Experience translating operational requirements into CCaaS capabilities (e.g., IVR/ACD, routing, WEM/QM, analytics, knowledge, CRM/CSM integration) and supporting CCaaS evaluations and implementations across leading platforms (e.g., Five9, Amazon Connect, Genesys, NICE)
  • Experience partnering with Workforce Management and Quality teams to improve forecasting, scheduling, adherence/occupancy, calibration, and coaching programs
  • Experience enabling AI-powered service operations (e.g., agent assist, summarization, knowledge search, intelligent routing, quality automation), including adoption, measurement, and controls (privacy/PII, monitoring, escalation)
  • Bachelor’s degree in Computer Science, Engineering, or equivalent work experience
  • Ability to travel up to 50% on average

Nice to have

  • Experience with WEM/QM/WFM suites (e.g., recording, quality, coaching, performance dashboards) in enterprise contact center environments
  • Experience with omnichannel and digital service strategies that improve containment/deflection and reduce repeat contacts
  • Experience with spe

What the JD emphasized

  • AI-enabled service operations
  • adoption, measurement, and controls (privacy/PII, monitoring, escalation)

Other signals

  • AI-enabled service capabilities
  • agent assist
  • summarization
  • knowledge search
  • intelligent routing
  • quality automation