Client Engagement Lead - Data & AI
Job in
1000, Amsterdam, North Holland, Netherlands
Listed on 2026-10-10
Listing for:
EPAM Systems
Full Time
position Listed on 2026-10-10
Job specializations:
-
IT/Tech
-
Sales
Job Description & How to Apply Below
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 offer
26 paid holiday days Pension plan scheme
Disability insurance (WGA Shortfall insurance)
Long-term disability insurance (WIA Top up insurance)
EPAM Employee Stock Purchase Plan (ESPP)
Commuting to work - costs reimbursement
Laptop + corporate simcard + corporate mobile device (subject to certain eligibility requirements)
Bike lease
Employee Assistance Program Corporate Programs including Employee Referral Program with rewards
Learning and development opportunities including in-house training and coaching, professional certifications, and courses
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