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Client Engagement Lead - Data & AI

Hybrid in London·Added 13 days ago (last checked 12 Oct)

EPAM

102 open roles

Overview

Job details

  • Hybrid

    Office and home days — the ad has the split.

Benefits

  • Cycle to work and season ticket loan

    Commuter benefits named in the ad.

Requirements

  • Be near London for hybrid days

    No relocation package mentioned.

  • Have 3+ years of experience

    Mid-level role.

Skills

Pay & benefits

What you'll get

  • 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

*All benefits and perks are subject to certain eligibility requirements

The role

We're looking for a Client Engagement Lead - Data & AI to join our team in London, UK in a hybrid working mode.

What you'll do

In 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.

  • 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 AI
  • Hands-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

Hiring process

3 steps3 interviews
  1. Apply

  2. Conversation with Talent Acquisition

    With a Talent Acquisition Specialist

    An introductory conversation with a Talent Acquisition Specialist.

  3. Technical interview

    Video call

    An online technical interview.

  4. Interview with the hiring manager

    With a hiring manager

    A general interview with the hiring manager.

  5. Offer

  • The block is a template on EPAM location pages; the Spain page itself does not show it.

About EPAM

Industry
IT Services
Founded
1993
Employees
50,000–100,000
Headquarters
Newtown, USA
Website
epam.com
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