Client Engagement Lead - Data & AI

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

Job summary

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

You will blend business strategy with technical fluency to influence senior stakeholders, shape solutions, and drive measurable outcomes. Expect presales involvement, opportunity scoping, and commercially viable proposals to grow accounts.

Qualifications

• 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

Responsibilities

• Build 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

Skills

Databricks

Data governance

Data & AI ecosystems

Executive communication

Presales

Leadership

Cloud platforms

ML & Generative AI

Engagement design

Client relationship management

Education

Bachelor's degree in a relevant discipline

Tools

Databricks Unity Catalog

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.

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 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