AI & Customer Experience – Functional Consulting Intern

Keyrus

. Understand clients’ businesses, objectives, processes, customers, and key performance indicators, and translate them into clear requirements .

Posted 10/21/2026internshipRemote • ColombiaEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong analytical skills and attention to detail in documenting functional requirements, user stories, and business processes. Proficient in using generative AI tools and agile project management methodologies to support innovative digital and data projects.

Highest-signal resume keywords

Generative AI Tools ProficiencyIntermediate Excel SkillsBasic SQL KnowledgeFamiliarity With CRM PlatformsUnderstanding Of Business Processes

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisDocumentation SkillsUser Story DevelopmentData ModelingSegmentation RulesFunctional TestingAgile MethodologiesTechnical English ComprehensionBusiness Process OptimizationRapid Prototyping

Soft Skills

Effective CommunicationAttention To DetailCuriosity About Business OperationsCollaborative TeamworkStructured Communication

Tools & Technologies

ExcelSalesforceJiraConfluenceMiroMural

Industry Keywords

Customer ExperienceDesign ThinkingMarketing AutomationData Quality RequirementsBusiness Objectives

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Understand clients’ businesses, objectives, processes, customers, and key performance indicators, and translate them into clear requirements
Support discovery sessions and workshops with business teams by capturing meeting notes, findings, and action items
Document functional requirements, user stories, use cases, and business processes
Assist with data analysis and documentation, including data dictionaries, data models, segmentation rules, and data quality requirements
Support functional testing of campaigns, customer journeys, and automations within CRM and marketing platforms
Use generative AI tools to research, analyze information, document findings, and create structured deliverables
Support identification and documentation of AI use cases, including business problems, required data, and generated value
Prepare draft presentations, matrices, and documents for clients and internal teams
Track project tasks and action items using agile project management tools
Participate in team ceremonies alongside consultants, architects, designers, developers, and project managers
Work on innovative Digital & Data projects with global customers across industries

Requirements

What you’ll need

Student in the final semesters of a degree in Industrial Engineering, Systems Engineering, Business Administration, Marketing, Economics, or a related field
University approval to complete a professional internship
Curiosity about how businesses operate and ability to ask thoughtful questions
Regular use of generative AI tools with sound judgment, effective prompting, and result validation
Intermediate Excel skills, including pivot tables and data consolidation
Basic knowledge of databases and data analysis
Strong writing, summarization, and documentation skills
Analytical mindset and strong attention to detail
Effective communication and enjoyment of multidisciplinary and multicultural teamwork
Ability to read and understand technical English
Ability to collaborate effectively within multidisciplinary teams
Interest in rapid prototyping, experimentation, and continuous learning
Understanding of business processes and how technology can optimize them
Structured communication skills for documenting solutions and presenting technical ideas clearly
Basic SQL knowledge
Familiarity with CRM platforms, customer data platforms, or marketing automation solutions such as Salesforce
Knowledge of Customer Experience, Design Thinking, or agile methodologies
Experience with Jira, Confluence, Miro, or Mural
Completed courses or personal projects related to AI, data analytics, or automation

Benefits

Comp & perks

100% remote work
International and multicultural projects
Opportunities to work with leading technologies in the Digital Commerce ecosystem
Access to training programs and continuous professional development
Professional growth opportunities and internal mobility
A culture built on collaboration, innovation, and continuous learning