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Conversational Ai Analyst Jobs (NOW HIRING)

Verint

Sr. Conversational AI Consultant

Analyze operational, customer experience, and solution performance data to identify trends, risks ... conversational AI, and related automation technologies. * Proven ability to act as a trusted ...

Checkr

AI Conversation Designer

Denver, CO · On-site

The ideal candidate will have hands-on experience with conversational AI platforms, a strong understanding of conversation design principles, and the ability to analyze performance data to drive ...

Talivity

$40 - $60/hr

Familiarity with AI/ML applications in HR (e.g., candidate matching, conversational AI, talent intelligence). * Excellent analytical, problem-solving, and client communication skills. * Ability to ...

Checkr

AI Conversation Designer

Denver, CO · On-site

$90K - $112K/yr

The ideal candidate will have hands-on experience with conversational AI platforms, a strong understanding of conversation design principles, and the ability to analyze performance data to drive ...

Saransh Inc

Conversational AI QA Lead

Irving, TX · On-site

- Conversational AI QA Lead - chatbots Locations: Irving/Dallas, Texas FULL TIME Day to Day job ... Strong analytical and problem-solving skills, with the ability to manage multiple priorities in a ...

RouteThis

OR

$101K - $133K/yr

If you have deep experience in the IVR, contact center, or conversational AI ecosystem and want a ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

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Conversational Ai Analyst information

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How much do conversational ai analyst jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for conversational ai analyst in the United States is $35.97, according to ZipRecruiter salary data. Most workers in this role earn between $25.24 and $42.07 per hour, depending on experience, location, and employer.

What are some common challenges faced by conversational AI analysts when improving chatbot performance?

Conversational AI Analysts often encounter challenges such as accurately interpreting user intent, handling ambiguous queries, and managing the evolving language used by customers. They must continuously analyze conversation logs, identify areas where the AI fails to provide satisfactory responses, and collaborate with data scientists, developers, and UX designers to refine natural language models. Staying up-to-date with advancements in NLP technologies and ensuring that the chatbot aligns with business goals are also important aspects of the role.

What is the difference between Conversational Ai Analyst vs Data Analyst?

AspectConversational Ai AnalystData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of NLP and AI toolsBachelor's in Statistics, Math, or related; proficiency in data analysis tools
Work EnvironmentTech companies, AI startups, customer service platformsBusiness, finance, healthcare, and other industries
Employer & Industry UsageAI-focused companies, tech firms, customer experience teamsVarious sectors analyzing data for insights and decision-making

The Conversational Ai Analyst specializes in developing and optimizing AI chatbots and voice assistants, focusing on natural language processing. In contrast, the Data Analyst interprets data sets to inform business decisions across industries. While both roles require analytical skills and familiarity with data tools, the Conversational Ai Analyst emphasizes AI and NLP technologies, whereas the Data Analyst centers on data visualization and statistical analysis.

What does a conversational AI analyst do?

A Conversational AI Analyst is responsible for designing, analyzing, and optimizing AI-driven conversational interfaces such as chatbots and virtual assistants. They use data to evaluate user interactions, identify patterns, and suggest improvements to enhance user experience and accuracy. Their work often involves collaborating with developers, data scientists, and UX designers, as well as conducting A/B testing and monitoring performance metrics. The ultimate goal is to ensure the conversational AI systems are effective, efficient, and aligned with business objectives.

What are the key skills and qualifications needed to thrive as a conversational AI analyst?

To thrive as a Conversational AI Analyst, you need a solid background in data analysis, natural language processing (NLP), and linguistics, often supported by a degree in computer science, linguistics, or a related field. Familiarity with analytics platforms, chatbot development tools (such as Dialogflow or Rasa), and scripting languages like Python is typically required. Strong problem-solving ability, attention to detail, and effective communication skills help you interpret data insights and collaborate with cross-functional teams. These competencies are crucial for designing, optimizing, and evaluating AI-driven conversational systems to ensure accurate and user-friendly interactions.
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Conversational Ai Analyst jobs near you
Infographic showing various Conversational Ai Analyst job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $74,823 per year, or $36 per hour.

Sr. Conversational AI Consultant

Verint

Remote

Full-time

Posted 19 days ago

Job description


Overview of Job Function:
The Sr. Conversational AI Consultant serves as a strategic advisor and lead consultant for customers leveraging AI-powered customer experience and operational solutions. This role partners closely with customer stakeholders, executive leaders, and internal cross-functional teams to drive successful solution adoption, optimize business processes, and deliver measurable business outcomes through strategic consulting, analytics, and technical expertise.
Serving as the consulting lead on customer engagements, the Sr. Conversational AI Consultant is responsible for guiding solution strategy, business transformation initiatives, and value realization efforts while partnering with Program Managers to ensure successful execution. Through trusted advisor relationships and industry expertise, this role helps organizations improve operational performance, enhance customer experiences, and maximize the value of their AI investments.
Principal Duties and Essential Responsibilities:
Customer Consulting & Solution Optimization
  • Serve as the lead consultant and primary strategic advisor for customers utilizing AI-powered solutions, providing guidance throughout the customer lifecycle.
  • Lead the consulting workstream for customer engagements, driving solution adoption, optimization, and business transformation initiatives.
  • Partner with customer stakeholders to understand business objectives, operational challenges, and success criteria, recommending solutions that deliver measurable business outcomes.
  • Establish trusted advisor relationships with business leaders, operational stakeholders, and executive sponsors.
  • Facilitate discovery sessions, workshops, business reviews, and stakeholder discussions to align priorities, define success measures, and drive customer success.
  • Develop strategic success plans in collaboration with Program Managers, focusing on measurable business outcomes, adoption goals, and value realization.
  • Identify opportunities to increase solution utilization, improve operational effectiveness, and expand customer value.

AI Subject Matter Expertise
  • Serve as a senior subject matter expert on conversational and generative AI technologies, providing strategic guidance, industry best practices, and solution recommendations.
  • Lead the implementation, configuration, testing, validation, and optimization of AI-powered capabilities, including Prompt-Driven AI, Classifier-Driven AI, AI Tags, Auto QM, Advanced Sentiment Models, Trending Topics, and related technologies.
  • Assess customer processes, workflows, and operational practices to identify opportunities for automation, efficiency gains, quality improvement, and enhanced customer outcomes.
  • Advise customers on AI adoption strategies, governance considerations, operational readiness, and emerging technology capabilities.
  • Provide guidance on workforce optimization practices and customer experience improvement strategies when applicable.

Analytics & Business Insights
  • Analyze operational, customer experience, and solution performance data to identify trends, risks, opportunities, and strategic recommendations.
  • Develop and deliver executive-level reports, dashboards, presentations, business reviews, and value realization assessments that communicate business impact.
  • Define, establish, and monitor key performance indicators (KPIs), benchmarks, and success measures aligned with customer objectives.
  • Translate complex data into actionable insights that support decision-making and drive continuous improvement.

Problem Resolution & Cross-Functional Collaboration
  • Lead the investigation and resolution of complex business and technical issues through root cause analysis, risk assessment, and strategic problem-solving.
  • Serve as an escalation point for complex customer issues, ensuring timely resolution and maintaining customer confidence.
  • Partner with Program Managers to align consulting activities with overall program objectives and customer success goals.
  • Collaborate with Product Management, Engineering, Support, Customer Success, and Professional Services teams to address customer challenges and identify opportunities for product and process improvement.
  • Provide consulting leadership and subject matter expertise across customer engagements and internal initiatives.

Customer Success & Continuous Improvement
  • Drive customer success through recommendations that increase adoption, utilization, and business value.
  • Leverage customer feedback, performance data, and industry trends to optimize outcomes.
  • Influence customer strategies through data-driven insights and best practices.
  • Document recommendations, engagement outcomes, and lessons learned to support knowledge sharing.
  • Manage multiple customer engagements while maintaining high customer satisfaction.
  • Contribute to consulting best practices, methodologies, and reusable assets.

Minimum Requirements:
  • Bachelor's degree in Business, Computer Science, Information Systems, Engineering, or a related field, or an equivalent combination of education and practical experience.
  • Minimum of 7 years of experience in customer-facing consulting, solution consulting, professional services, technical consulting, application consulting, or related advisory roles.
  • Demonstrated experience leading complex customer engagements and delivering successful business outcomes.
  • Strong understanding of AI-powered technologies, including prompt-based AI, classifier-based AI, conversational AI, and related automation technologies.
  • Proven ability to act as a trusted advisor and influence stakeholders across multiple levels of an organization.
  • Strong analytical, problem-solving, and troubleshooting skills.
  • Experience developing executive presentations, business reviews, reports, dashboards, and actionable business insights.
  • Excellent verbal and written communication skills.
  • Strong presentation, workshop facilitation, and stakeholder management skills.
  • Ability to collaborate effectively across cross-functional teams and influence without direct authority.
  • Demonstrated ability to independently manage multiple priorities and customer engagements.
  • Successful completion of a background screening process including, but not limited to, employment verifications, criminal search, OFAC, SS Verification, as well as credit and drug screening, where applicable and in accordance with federal and local regulations.

Preferred Requirements:
  • Experience supporting contact center operations or customer experience environments.
  • Experience with Workforce Management (WFM) solutions, preferably Calabrio or Verint Solution.

About the Team
Verint Systems Inc. is an equal opportunity employer and is committed to maintaining a workplace free from discrimination, retaliation, and sexual and any other form of harassment. Verint has a zero-tolerance policy against any form of discrimination, retaliation, or harassment including sexual harassment or any other form of harassment based on race, color, religion, sex, age, national origin, genetic information, disability, veteran status, and any other classification or characteristic protected by applicable federal, state or local laws. Verint operates in accordance with all anti-discrimination laws and affords equal opportunities to employees and applicants without regard to any characteristic or protected class in our hiring, promotion and termination practices.
For US Applicants
2025 Benefits Offering
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About Verint Systems

Sourced by ZipRecruiter

Verint Systems is a renowned tech firm in the action-centric intelligence segment based in Melville, NY. It leverages customer engagement and cyber intelligence to extract actionable insights from vast quantities of data. The company, founded in 2002, has since secured its spot in the IT and tech industry by delivering innovative and effective solutions tailored for its clients' needs. Known for their customer engagement service, voice of the customer (VoC) software, risk and compliance solutions, and fraud prevention services, they serve many business sectors. Verint's mission is to create a safer world by providing actionable intelligence that empowers organizations to prevent security threats and improve customer engagement.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Melville, NY, US

Year founded

1994

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