Client Engagement Lead - Data & AI

EPAM Systems; Amsterdam; Hybrid; EUR 120,000 - 180,000; Full time

Benefits offered by this job

26 paid holiday days

Pension plan scheme

Disability insurance (WGA Shortfall)

Long-term disability insurance (WIA)

Employee Stock Purchase Plan (ESPP)

Commuting to work - costs reimbursed

Laptop + corporate simcard + corporate

Bike lease

Employee Assistance Program

Employee Referral Program

Learning and development opportunities

Job summary

EPAM Systems, Inc. in Amsterdam seeks a Client Engagement Lead – Data & AI to own key client relationships and drive engagements from vision to delivery.

You will combine business strategy with technical fluency to influence senior stakeholders, shape data modernization and AI adoption strategies, and help secure long-term partnerships. The role involves presales, engagement design, and steering multidisciplinary teams to deliver measurable business outcomes.

Qualifications

• Proven experience managing client-facing Data & AI programs in consulting or SI environments.
• Track record in presales, proposal development, and revenue conversion.
• Ability to engage with senior business and technical stakeholders.

Responsibilities

• Build and maintain trusted relationships with senior stakeholders for Data & AI engagements.
• Lead presales activities, shape proposals, and engagement design.
• Drive account growth and long-term partnerships.
• Guide engagements from planning through delivery with cross-functional teams.
• Represent EPAM in thought leadership forums and industry events.

Skills

Client-facing experience

Presales

Executive-level credibility

Data & AI ecosystems

Databricks

Unity Catalog

Engagement design

Leadership

Communication

Education

Bachelor’s degree in a relevant field

Advanced degree or certifications (cloud, data, AI)

Tools

Databricks

Unity Catalog

Cloud platforms

Job description

We're looking for a Client Engagement Lead – Data & AI to join our team in Amsterdam, Netherlands in a hybrid working mode.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.ResponsibilitiesBuild and maintain trusted relationships with senior-level stakeholders, acting as the primary contact for Data & AI engagementsLead presales activities, including shaping proposals, supporting opportunity qualification and engagement designDrive account growth by identifying new opportunities and securing long-term partnershipsGuide engagements from planning through delivery, ensuring outcomes align with established objectives and timelinesCollaborate with technical experts to design data modernization, AI and machine learning adoption strategiesPromote best practices for data governance, analytics and enterprise AI integration across engagementsManage risk, scope and client expectations while steering multidisciplinary teams toward successSupport commercial negotiations by presenting proposals and defining engagement termsRepresent EPAM in thought leadership forums, including client advisory sessions and industry eventsMonitor the evolving Data & AI landscape and proactively position EPAM as a strategic partnerRequirementsProven experience managing client-facing Data & AI programs within consulting, professional services or systems integration environmentsTrack record of driving presales, including proposal development, solution scoping and revenue conversionAbility to build executive-level credibility and navigate conversations with both business and technical stakeholdersStrong 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 capabilitiesFamiliarity with Databricks governance solutions such as Unity Catalog and data security best practices for enterprise-scale implementationsExperience in engagement design, commercial framing and estimation of enterprise projectsLeadership skills to motivate, mentor and coordinate cross-functional delivery teamsExcellent communication and presentation skills to articulate complex technical concepts in business termsBachelor’s degree in a relevant discipline; advanced degree or industry certifications (cloud, data, AI) is an advantageWe offer26 paid holiday daysPension plan schemeDisability insurance (WGA Shortfall insurance)Long-term disability insurance (WIA Top up insurance)EPAM Employee Stock Purchase Plan (ESPP)Commuting to work - costs reimbursementLaptop + corporate simcard + corporate mobile device (subject to certain eligibility requirements)Bike leaseEmployee Assistance ProgramCorporate Programs including Employee Referral Program with rewardsLearning and development opportunities including in-house training and coaching, professional certifications, and courses