Principal (Director) - Data Analytics & AI Consulting

Are you an exceptional technology leader who thrives at the intersection of business strategy, digital transformation and state-of-the-art AI? Do you want to take ownership of critical strategic decisions and build the future of EPAM’s European Data & AI Practice?

EPAM is looking for a Principal (Director) - Data Analytics & AI Consulting to join our team in London, UK in a hybrid working mode.

In this senior-level role, you will act as a trusted advisor to C-suite and executive-level clients, helping them navigate complex data modernisation journeys and adopt production-ready AI.

As a key authority within the practice, you will collaborate with other leaders to define our go-to-market strategies, lead pre-sales campaigns, design next-generation Generative and Agentic AI offerings and champion Responsible AI frameworks across the UK and Western Europe.

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

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