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RingCentral

Cloud-based business communication and collaboration platform

Contact Center Expert - Business Analytics

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeManila, Metro Manila, PhilippinesIn-person

About the Job

Requirements

  • Candidates must have at least 5 years of hands-on contact center analytics or AI insights experience, including building, configuring, and being accountable for data accuracy.
  • Candidates must have personal experience configuring RingSense, ACE, NICE Enlighten, or equivalent AI conversation analytics platforms.
  • Candidates must have direct experience with AI-assisted quality management, including setting up auto-scoring, calibrating against human evaluations, and mitigating systematic errors.
  • Candidates must be able to analyze transcript analytics to distinguish high-quality outputs from model drift or misconfiguration.
  • Candidates must have configured live agent-assist or supervisor AI tools, including real-time guidance and escalation triggers.
  • Candidates must have working knowledge of native contact center as a service reporting, such as RingCX, NICE CXone, Genesys Cloud, or Five9.
  • Candidates must have exposure to business intelligence platforms such as Power BI, Tableau, or Looker, and be prepared to develop deeper expertise within 12 months.
  • Candidates must provide a detailed track record of projects, environments, mistakes, and technical decision-making.
  • Candidates must have a documented professional history that includes project scopes, systems used, and delivered outcomes.
  • Candidates must communicate technical topics precisely and professionally, remain credible under challenge from technically sophisticated customers or internal engineers, scope engagements clearly, and produce usable work without extensive editing.

Responsibilities

  • Lead focused, time-bound customer engagements, including discovery sessions, configuration reviews, dashboard and reporting reviews, and written findings with actionable recommendations.
  • Explain how AI quality-management scoring differs from human scoring, including where AI adds accuracy and scale and where it introduces bias risk; calibrate AI-scored evaluations against human benchmarks.
  • Educate customers about differences between AI-assisted quality-management scores and human evaluation scores, and advise them on how to address those differences.
  • Present findings and recommendations in writing and verbally to technical leads and senior business stakeholders.
  • Configure and optimize ACE by mapping evaluation criteria to AI categories, calibrating auto-scoring thresholds, and designing AI quality-management reports that provide actionable supervisor data.
  • Assess RingSense deployments by reviewing post-call AI analytics configuration, including category setup, moment identification, trend analysis, and integration with operational workflows.
  • Assess configuration of agent-assist and supervisor AI tools, including real-time guidance triggers, escalation recommendations, and supervisor alert logic, and measure whether these tools improve agent performance.
  • Conduct transcript analytics health checks by evaluating the quality and consistency of AI-generated transcripts and the accuracy of derived insights.
  • Help customers align AI-scored evaluations with human-evaluated benchmarks, identify systematic scoring gaps, and recommend configuration changes.
  • Advise customers on conversation-intelligence strategy, including which AI-generated metrics to act on, how to build coaching programs around AI data, and how to connect insights to behavior change.
  • Assess RingCX and RingEX reporting configurations against customers’ operational needs.
  • Design custom reports and dashboards, including real-time agent dashboards, supervisor wallboards, queue performance views, and historical trend reports.
  • Define and align metrics to ensure RingCentral reporting produces accurate, consistent values for average handle time, average speed of answer, first-call resolution, customer satisfaction, occupancy, and utilization.
  • Align reporting feeds with the interval and metric requirements of customers’ workforce management platforms.
  • At the 12-month milestone, independently advise customers on RingCentral-to-business-intelligence platform integration, including data export configuration, Power BI or Tableau schema guidance, and API-based data-pull patterns in collaboration with Lane 2.
  • Document recurring product gaps, configuration limitations, and customer-requested capabilities observed across engagements.
  • Submit structured input through the subject-matter-expert-to-Product feedback channel after each engagement.
  • Participate in product beta programs and early-access initiatives within the specialty lane.
  • Maintain current, deep knowledge of the specialty lane across RingCentral products and contribute to knowledge resources for RingCentral teams.
  • Stay current on competitive platform capabilities in the domain, including NICE CXone, Genesys, Five9, and Zoom.

About the Company

RingCentral

Cloud-based business communication and collaboration platform

RingCentral provides cloud-based communication and collaboration tools for businesses. It offers a unified RingCentral App that combines voice, video, messaging, and collaboration so users can manage calls, messages, and meetings across any device. Additional services include RingCentral Fax and RingCentral Contact Center, all delivered through a subscription model. Revenue comes from recurring subscription fees and an affiliate program that rewards partners for selling the services. The company differentiates itself with an integrated, global cloud communications suite and strategic partnerships (for example with AT&T) that extend reach. Its goal is to simplify and unify business communications and collaboration on a global scale.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Belmont, CA
Founded
2003

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