Client Engagement Lead - Data & AI

Location:

London; UKWork type:
Hybrid Seniority:
Senior Management Primary skill:
Business Consulting Posted:
We're looking for a Client Engagement Lead – Data & AI to join our team in London, UK in a hybrid working  this role, you will take ownership of key client relationships, lead engagements from vision to delivery, and serve as a trusted advisor for data and AI initiatives. You will combine business strategy expertise with technical fluency to influence senior stakeholders, shape solutions and drive measurable business outcomes.

You will play an active role in presales by identifying opportunities, scoping engagements, and creating commercially viable proposals. Success will be defined by delivering impactful projects, strengthening strategic partnerships, and enabling account growth.

If you enjoy building long-term relationships, driving data and AI adoption, and operating at the intersection of technology and business strategy, this position offers a unique opportunity to deliver significant client and organizational value.

Responsibilities Build and maintain trusted relationships with senior-level stakeholders, acting as the primary contact for Data & AI engagements

Lead presales activities, including shaping proposals, supporting opportunity qualification and engagement design

Drive account growth by identifying new opportunities and securing long-term partnerships

Guide engagements from planning through delivery, ensuring outcomes align with established objectives and timelines

Collaborate with technical experts to design data modernization, AI and machine learning adoption strategies

Promote best practices for data governance, analytics and enterprise AI integration across engagements

Manage risk, scope and client expectations while steering multidisciplinary teams toward success

Support commercial negotiations by presenting proposals and defining engagement terms

Represent EPAM in thought leadership forums, including client advisory sessions and industry events

Monitor the evolving Data & AI landscape and proactively position EPAM as a strategic partner

Requirements

Proven experience managing client-facing Data & AI programs within consulting, professional services or systems integration environments

Track record of driving presales, including proposal development, solution scoping and revenue conversion

Ability to build executive-level credibility and navigate conversations with both business and technical stakeholders

Strong working knowledge of Data & AI ecosystems, including cloud platforms, data architecture, governance, ML and generative AIHands-on experience with Databricks and ability to credibly discuss data lakehouse patterns and AI product capabilities

Familiarity with Databricks governance solutions such as Unity Catalog and data security best practices for enterprise-scale implementations

Experience in engagement design, commercial framing and estimation of enterprise projects

Leadership skills to motivate, mentor and coordinate cross-functional delivery teams

Excellent communication and presentation skills to articulate complex technical concepts in business terms

Bachelor’s degree in a relevant discipline; advanced degree or industry certifications (cloud, data, AI) is an advantage

We offerEPAM 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 Cycle scheme, 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
* All benefits and perks are subject to certain eligibility requirements