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Principal (Director) - Data Analytics & AI Consulting

EPAM Systems, Inc.
London, GBR
Full-time
Senior
Hybrid
Discovered 2 weeks ago
AWSAzureGCPDatabricksMLOpsLLMOps
Free

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Responsibilities

  • Partner with C-level and executive stakeholders to define enterprise-wide data, analytics and AI strategies that drive growth and transformation
  • Lead the development of advanced UK and European practice offerings, focusing on Generative AI, Agentic AI and LLMOps
  • Identify and qualify new Data and AI consulting opportunities, owning the sales pipeline for existing accounts and new pursuits
  • Architect high-level solutions, respond to complex RFPs/RFIs, draft commercial proposals and lead client pitches for large-scale engagements
  • Shape, scope and price consulting engagements, establishing delivery models and optimal team structures
  • Provide senior oversight and technical direction to cross-functional teams to ensure high-quality on-time delivery
  • Champion EPAM’s Responsible AI and security frameworks, guiding clients on ethical AI deployment, bias mitigation and compliance with regulations such as the EU AI Act
  • Oversee transition from sales to delivery, ensuring alignment of client expectations and technical requirements
  • Provide leadership and mentorship to consulting teams fostering talent growth across data and AI disciplines
  • Stay ahead of emerging trends such as agentic workflows and data mesh, introducing new methodologies and representing EPAM at key industry events

Requirements

  • Bachelor’s, Master’s or PhD in Computer Science, Data Science, Mathematics, Economics or a related field or relevant work experience
  • Proven track record in a Director, Principal or equivalent leadership role within a top-tier technology consulting firm
  • Demonstrated success in driving business development, leading pre-sales efforts and securing funding for large Data and AI projects
  • Excellent communication and presentation skills with ability to influence and advise executive stakeholders up to C-level
  • Deep expertise in artificial intelligence, machine learning and generative AI applications with strong knowledge of MLOps and LLMOps lifecycles
  • Advanced understanding of cloud-scale data platforms such as AWS, Azure, GCP or Databricks and data engineering best practices
  • Knowledge of data governance, data security and emerging AI regulatory frameworks including the EU AI Act
  • Experience orchestrating multi-disciplinary teams across regions and time zones
  • Proactive and entrepreneurial approach to problem-solving with ability to bring structure to ambiguous business challenges
  • Fluent in a European language such as Dutch, French or German is highly desirable

We offer/Benefits

  • EPAM Employee Stock Purchase Plan (ESPP)
  • Protection benefits including life assurance, income protection and critical illness cover
  • Private medical insurance and dental care
  • Employee Assistance Program
  • Competitive group pension plan
  • Cyclescheme, Techscheme and season ticket loans
  • Various perks such as free Wednesday lunch in-office, on-site massages and regular social events
  • Learning and development opportunities including in-house training and coaching, professional certifications, and courses
  • If otherwise eligible, participation in the discretionary annual bonus program
  • If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program

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