About the role
A Call Center Manager job description covers overseeing daily call center operations and leading agents to meet performance targets. The role protects service quality and customer satisfaction while keeping operating costs under control. Hiring managers should assess people management, customer operations, data analysis, and AI fluency.
What a call center manager does day to day: they run the operations and staff of a customer contact center. In call centers, they set performance standards, coach agents, and use metrics to improve quality and plan capacity. Typical duties include:
Oversee day-to-day call center operations.
Set performance standards to meet service goals.
Train, coach, and monitor agents to reach performance targets.
What are the essential Call Center Manager skills?
Essential Call Center Manager skills are people management, customer operations, data analysis, strategic and critical thinking, and AI fluency.
Skill | Why it matters | Bryq assessment and level |
|---|---|---|
People management and team coaching | Managers lead, motivate, and coach agents to targets. | People Management (intermediate) |
Customer operations and service delivery | Managers run daily operations and keep service quality high. | Customer Operations (advanced) |
Data analysis for performance metrics | Quality and productivity metrics drive reviews and capacity planning. | Data Analysis (intermediate) |
Strategic and critical thinking | Supports cost/benefit analyses and problem solving. | Strategic & Critical Thinking (intermediate) |
AI Fluency | AI now shapes call routing, quality monitoring, and agent assist tools. | AI Fluency Assessment (functional) |
The core work is running the contact center and leading its agents. Managers coach people, deliver service, read quality and productivity metrics, weigh costs and benefits, and use AI tools to shape routing and quality monitoring. These skills work together in every performance review and capacity plan.
Levels are a starting point. Bryq lets you set the level each role needs.
Which nice-to-have skills help a Call Center Manager stand out?
Microsoft Office proficiency, CRM systems, time management and scheduling, and resilience under pressure add value but are not needed on day one.
Microsoft Office proficiency. Supports reporting and everyday office work.
Customer relationship management systems. Helps track customer interactions and service data.
Time management and scheduling. Keeps shifts and priorities organized.
Resilience under pressure. Helps the manager stay steady in busy periods.
Use these skills as tie-breakers between candidates who are equally strong on the essentials. Never screen out candidates who can learn them on the job.
Which competencies predict success as a Call Center Manager?
Leadership Potential and Communication are the essential competencies for a Call Center Manager.
Leadership Potential. Sets standards, motivates agents, and leads the team to targets.
Communication. Drives performance reviews, coaching talks, and stakeholder work on journey maps.
Empathy adds support for staff and customers, and Learning Agility adds quick adaptation to new tools.
What AI skills does a Call Center Manager need?
A Call Center Manager should use AI to measure quality, plan staffing, and coach agents, because tools like conversation analytics, chatbots, and agent assist already shape how contact centers run.
AI fluency matters because managers use these tools daily, judge their output, and guide agents in using them. AI output used without checking can lead to poor coaching and staffing decisions, so accuracy needs verifying.
Use AI-powered speech and text analytics to score call quality and identify coaching needs across all agents.
Apply AI forecasting tools to predict call volumes and plan staffing and capacity.
Use generative AI to draft coaching feedback, training materials, and knowledge base content, then verify accuracy before use.
How do you assess Call Center Manager candidates with Bryq?
Bryq measures all the essential skills and traits for a Call Center Manager in one integrated candidate profile: cognitive ability, personality traits, soft and hard skills, including AI fluency. Bryq builds an ideal profile for the role and matches candidates against it.
Profile Fit measures cognitive ability and personality, matched against the ideal profile for the role.
People Management measures how candidates lead and coach teams.
Customer Operations measures service delivery and operations know-how.
Data Analysis measures how candidates work with performance metrics.
Strategic & Critical Thinking measures analysis and problem solving.
AI Fluency Assessment measures how candidates apply and judge AI tools.
Optional add-ons. Skills assessments for Microsoft Office, Customer Relationship Management, Time Management, and Resilience.
Competency profile. Through competency mapping, it covers Leadership Potential and Communication, with Empathy and Learning Agility as optional additions.
All Bryq assessments are validated by I/O psychologists. Profile Fit is independently bias-audited under New York City Local Law 144 (code4thought, April 2026). The AI Fluency Assessment is built on peer-reviewed and subject-matter expert research. A person makes every hiring decision.
Call Center Manager job description template
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Call Center Manager |
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About [Company name][Add a short description of your company.] About the roleAs our Call Center Manager, you will oversee the daily operations and people of our call center. You will put strategies in place to improve productivity and customer satisfaction while reducing operating costs. Responsibilities
Qualifications
Skills and competencies we look for
Working with AI
What we offer
Equal opportunity[Add your equal opportunity statement.] |
Frequently asked questions
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Author
The Bryq I/O Team
Bryq’s I/O Psychology Team is a group of industrial-organizational psychologists who design and validate the science behind our assessments. They write about what research says on hiring, skills, personality, and performance, and how HR leaders can apply it to make fairer, evidence-based decisions.
