Principal (Director) - Data Analytics & AI Consulting

As Principal (Director) in EPAM’s London Data Analytics & AI Consulting practice, you will guide C-suite decisions on data modernization and production-grade AI. You’ll shape European offerings, lead pre-sales, and drive Responsible AI and regulatory compliance. You’ll partner with senior stakeholders to define enterprise AI strategies and deliver high-impact engagements across the UK and Western Europe. This role combines strategic leadership with hands-on solution design in Generative and Agentic AI.

• ESPP
• life assurance and income protection
• private medical insurance
• pension plan
• cycle scheme and season ticket loans
• wellbeing and learning opportunities

• Define enterprise-wide data, analytics and AI strategies with executive stakeholders
• Lead development of European practice offerings focused on Generative AI, Agentic AI and LLMOps
• Identify and qualify new Data & AI opportunities and manage the sales pipeline
• Architect high-level solutions, respond to complex RFPs/RFIs, and lead client pitches
• Shape engagement scopes, delivery models and team structures
• Provide senior technical direction to cross-functional teams for on-time delivery
• Champion Responsible AI and security frameworks for regulatory compliance (EU AI Act)
• Oversee transition from sales to delivery ensuring aligned expectations
• Mentor consulting teams to grow talent across data and AI disciplines
• Stay ahead of trends (agentic workflows, data mesh) and represent EPAM at industry events

• Bachelor’s, Master’s or PhD in Computer Science, Data Science, Mathematics, Economics or related field or relevant work experience
• Proven director-level or principal leadership experience in a top-tier technology consulting firm
• Track record in business development, pre-sales and securing funding for large Data & AI projects
• Excellent communication and executive-level influencing skills
• Deep expertise in AI, ML and generative AI, with strong MLOps and LLMOps knowledge
• Advanced understanding of cloud data platforms (AWS, Azure, GCP, Databricks) and data engineering best practices
• Knowledge of data governance, data security and EU AI Act regulatory frameworks
• Experience coordinating multi-disciplinary teams across regions/time zones
• Proactive, entrepreneurial problem-solver with aptitude to structure ambiguous challenges
• Fluency in a European language such as Dutch, French or German is desirable

• Strategic thinking
• Executive presence
• Strong communication & storytelling
• AI, ML and generative AI expertise
• MLOps and LLMOps lifecycles
• Cloud data platforms (AWS, Azure, GCP, Databricks)