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 9th Monday
November 2026 
Job-Id: 56493

Principal (Director) - Data Analytics & AI Consulting

EPAM Systems Ltd
Industry Type
Consulting, Management Consulting, Advisory Services
Functional Area
Consulting Industry ManagementConsulting, AdvisoryServices, DataAnalytics, AI, Consulting
Nationality
Any
Keywords
Data Analytics Expertise Artificial Intelligence Knowledge Sales Management Business Development Consulting Experience
Job Description

EPAM Systems is seeking a Principal (Director) - Data Analytics & AI Consulting to join our team in London, UK, working both remotely and on-site. The ideal candidate will identify and qualify new opportunities within Data and AI consulting, managing the sales pipeline for existing accounts and pursuits.

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About the role: Principal (Director) - Data Analytics & AI Consulting

General information about this type of role, not from the employer. The employer's actual requirements may differ, so always check the job details above.

Principals in Data Analytics & AI Consulting lead teams to deliver advanced data-driven solutions and artificial intelligence strategies to clients. They typically work in consulting firms, helping organizations improve decision-making and operational efficiency through technology.

What this role usually involves

  • Lead and manage consulting projects focused on data analytics and AI implementations.
  • Develop strategies to solve complex business problems using data and AI technologies.
  • Engage with clients to understand their needs and provide expert advice.
  • Oversee the design and delivery of data models, AI algorithms, and analytics tools.
  • Mentor and guide junior consultants and team members.
  • Stay updated with the latest trends and innovations in data analytics and AI.

Skills employers usually look for

  • Strong leadership and project management abilities.
  • Expertise in data analytics, machine learning, and AI techniques.
  • Excellent communication and client relationship skills.
  • Problem-solving and strategic thinking capabilities.
  • Ability to translate technical concepts into business value.
  • Team management and mentoring skills.

Usual qualifications

  • A degree in computer science, data science, engineering, or a related field.
  • Advanced certifications or training in data analytics, AI, or machine learning are advantageous.
  • Proven experience in consulting or advisory roles related to data and AI.
  • Strong background in business strategy and technology integration.

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